Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

Responsibilities

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Haves

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Core qualifications include:

• 8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams
• Excellent written and verbal communication skills

Nice-to-have qualifications include:

• Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments
• Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale
• Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes

Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with Claude Code, the Claude API, and Claude for Enterprise

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel frequently to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• Must have prior experience working with US federal, state, and/or local agencies

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Experience navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiar with Python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The annual compensation range for this role is $240,000-$345,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with Claude Code, the Claude API, and Claude for Enterprise

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel frequently to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• US Secret Clearance preferred for working with defense tech customers

• Prior work in government, government contracting, or government tech preferred

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Experience navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiar with Python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The annual compensation range for this role is $240,000-$345,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Responsibilities:

• Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
• Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
• Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
• Stay up-to-date with emerging technologies, industry trends, and advancements in AI and customer experience practices to identify opportunities for improvement and innovation.
• Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.

Minimum requirements:

• 3+ years of experience managing teams that build and operate full-stack web applications at scale, and 10+ years of overall industry experience.
• A passion for supporting both external users and internal customers.
• Successfully recruited and built great teams.
• The ability to thrive with a high level of autonomy and responsibility.
• The desire to encourage a healthy, inclusive work environment that's both supportive and challenging.
• Clear and persuasive writing and in-person communication.

Preferred qualifications:

• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• You are comfortable planning in quarters, and can set a vision for several years.
• You are excited about collaborating with teammates across Stripe's organisation to provide a wonderful support experience to users.
• You are comfortable working with geographically distributed teams.
• Experience managing multiple engineering teams.

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Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain , and someone needs to make sure we don't get killed on the way there.

We're building the single best platform for onchain investing , agentic trading, staking infrastructure, AI-powered analytics , and we're scaling fast. Fast enough that security can't be an afterthought bolted on later. It has to be built in, from the start, by someone who knows what they're doing.

Our mission:

Surface the signal and create winners.

What you'll do at Nansen

You'll be the person who makes sure we can move fast without breaking things that matter. That means embedding security into everything we build , cloud infrastructure, applications, CI/CD pipelines, AI systems, staking operations , across a generalist role that spans the full surface area.

• Run security assessments across systems, architectures, and code , find the vulnerabilities before someone else does
• Advise engineering teams on secure design decisions. You're a partner, not a blocker
• Deploy and maintain security infrastructure: SIEM, vulnerability scanning, endpoint protection, logging , the things that let us sleep at night
• Secure our CI/CD pipelines and deployment workflows end-to-end
• Own secrets management, key management, and access controls. No shortcuts
• Address LLM security head-on: API key management, prompt injection prevention, and the risks that come with shipping AI-powered products at speed
• Coordinate penetration tests and security audits with external vendors
• Create and maintain secure coding guidelines and code review processes that engineers actually follow
• Represent the Security Team in the incident response process
• Drive compliance readiness , SOC 2, ISO 27001 , pragmatically, not bureaucratically

What we're looking for

• You've built and hardened production security at scale , you know the difference between a policy document and an actually secure system
• Strong cloud security knowledge (AWS, GCP or equivalent). Container security and network security fundamentals
• Hands-on experience implementing security tooling, not just evaluating it
• Secrets and key management expertise , you've managed this at a company where it actually mattered
• You understand the security implications of AI/LLM and agent-based systems. This is new territory and we need someone thinking about it seriously
• CI/CD pipeline security is second nature
• Pragmatic about compliance , you can get us to SOC 2 without drowning the engineering team in process
• You don't just use AI as a tool. You think with it. AI-first isn't a checkbox , it's how you work
• Strong async communication skills , we're remote-first, Slack-and-docs-heavy, and EMEA hours are preferred for team overlap
• Bonus: blockchain, smart contract, or staking infrastructure security experience. Kubernetes and Terraform security. Incident response or security operations background

What we offer our crew

• Competitive salary. Meaningful equity. Real ownership in what you build
• Fully remote with two no-meeting days a week , because deep work doesn't happen in a Google Meet
• Annual company retreat and team off-sites in one of our offices: Singapore, Bangkok, London, and Oslo , flights and accommodation covered
• Unlimited AI tokens , Claude, OpenAI, whatever helps you move fast
• Your own OpenClaw for work
• Nansen Pro account: giving you full access to the most detailed onchain data in the market
• A team that started as data engineers and data scientists that has grown to over 80 builders. Your craft is respected here.
• Speed, ownership, curiosity, courage. These aren't values on a wall , they're how we run.
• A front-row seat (and a hand in building) the next chapter of finance

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Responsibilities:

• End-to-End Product Ownership: Define and own the product vision, strategy, and roadmap for Clinical AI tools with no PM layer above you.
• RAG Pipeline Design & Iteration: Architect, implement, and continuously improve the RAG infrastructure powering clinical decision support: chunking strategies, embedding models, vector database design, retrieval and reranking approaches, and evaluation frameworks.
• Prompt Engineering & Model Behavior: Design and iterate on prompt strategies, system instructions, and guardrails to produce reliable, clinically appropriate outputs.
• AWS Infrastructure: Deploy and maintain scalable, HIPAA-compliant AI infrastructure on AWS.
• Clinical Data & Integration: Work with healthcare data sources (EHR-adjacent, structured and unstructured clinical content) and integrate AI outputs into clinical workflows in ways that are accurate, auditable, and safe.
• Clinical Stakeholder Partnership: Own the relationship with clinicians and clinical operations directly , there is no PM intermediary.
• Technical Collaboration: Partner with backend and frontend engineers to integrate AI capabilities into the broader product.
• Staying Current: Actively track developments in applied AI research, RAG techniques, and agentic workflow design.
• Stakeholder Communication & Alignment: Translate technical AI concepts and tradeoffs for clinical and operational stakeholders.

Requirements:

• 5–8 years of experience in software or AI/ML engineering, with a meaningful portion in applied AI product development.
• Hands-on experience building and operating RAG systems in production.
• Strong Python skills; comfortable building pipelines, writing evaluation harnesses, and iterating on model behavior programmatically.
• SQL proficiency sufficient to query data independently, pull your own product metrics, and answer analytical questions without waiting on a data team.
• Experience deploying AI workloads on AWS; familiarity with relevant services (e.g., Bedrock, SageMaker, Lambda, RDS/Aurora, S3) and the tradeoffs between them.
• A product mindset , you think about user problems and outcomes, not just technical implementation, and you can write a clear spec as readily as a pull request.
• Experience with API design and integration, and the ability to collaborate closely with frontend and backend engineers without being a bottleneck.
• Healthcare or regulated-domain experience preferred; you understand why accuracy, auditability, and safe failure modes matter more in clinical contexts than in most.
• Familiarity with LLM safety tooling (e.g., guardrails, output validation frameworks) and an instinct for where AI systems can fail quietly.

Additional Information:

• Pay & Perks: Fully remote opportunity, medical, dental, and vision insurance, 401K retirement plan with company match, up to 20 days of PTO per year + company holidays, up to 14 weeks of parental leave (12 for non-birthing parents), annual work from home stipend for remote employees.

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The successful candidate will be the designated TL and lead the technical implementation of the GeminiApp web application, with a focus on the visual response rendering that is used across all the GeminiApp teams. They will lead a team of engineers spanning from the web client to the backend services.

Key responsibilities include:

• Architectural excellence: building bullet-proof web frameworks that are used by the team internally and externally to interface with XXXM+ DAU
• UI/UX innovation: collaborating closely with UX, PM, and other cross-functional partners to evolve GeminiApp into a natively AI-driven application
• Technical leadership: directing the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features
• Strategic cross-functional alignment: serving as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies

To succeed in this role, the ideal candidate will have:

• Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams
• Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale
• Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners
• A passion for developing engineers, with direct experience in mentoring and career growth development
• Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders

Preferred qualifications include:

• Experience with Websockets/Real Time Applications
• Demonstrated Javascript/Typescript expertise
• Familiarity with LLM systems and AI integrations into consumer applications
• Experimentation Frameworks

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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You will be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user. As a horizontal team, you will build bullet-proof web frameworks that are used by our team internally and externally to interface with XXXM+ DAU.

Collaborating closely with UX, PM, and other cross-functional partners, you will serve as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative vision and technical feasibility.

Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.

Serve as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

In order to set you up for success as a Staff Engineer at Google DeepMind, we look for the following skills and experience:

Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams.

Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale.

Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.

A passion for developing engineers, with direct experience in mentoring and career growth development.

Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.

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You will focus on process management and execution, ensuring our technical infrastructure initiatives run smoothly across global time zones while providing a structured framework for our engineering teams to succeed.

This is a high-impact Program Manager role with a strong focus on operations and program support within a mission-critical technical environment. You will be responsible for the program operations of our GenAI serving stack, bridging the gap between technical design and execution.

The role is dynamic and requires a leader who can thrive in an agile, fast-moving environment where priorities can shift quickly. You will manage critical workflows such as accelerating technical design reviews, enhancing cross-functional collaborations, and ensuring that the program's objectives are met with precision and efficiency.

Key responsibilities include defining and owning program charters, leading design reviews and technical steering discussion forums, partnering with engineers to resolve operational bottlenecks, and organizing program reviews and summits.

We are looking for a disciplined program leader who excels at bringing structure to complex environments and possesses the soft skills to influence stakeholders across different regions.

Requirements include proven experience as a Program Manager, experience working directly with engineers on large-scale infrastructure projects, and a demonstrated ability to create and implement process improvements.

Preferred qualifications include familiarity with software stacks, agile methodologies, and the AI/ML realm, specifically Gemini or similar LLM serving stacks, as well as experience working effectively with teams across multiple time zones.

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We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organisational values.

You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms.

We're looking for outstanding individuals with deep expertise in multimodal AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate.

The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.

Microsoft's mission is to empower every person and every organisation on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.

Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.

Build automated safety testing systems, generalise safety solutions into repeatable frameworks, and write efficient code for safety pipelines and intervention systems.

Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on multimodal safety matters.

Track advances in multimodal safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.

Embody our culture and values.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximise the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate
• We encourage you to apply even if you do not believe you meet every single qualification
• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses

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As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.

You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with Claude Code, the Claude API, and Claude for Enterprise
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel frequently to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• Security clearance not required, but a plus
• Must have prior experience working with US federal agencies
• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Familiar with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.

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As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.

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Location

Tokyo, Japan

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the Role

This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in Tokyo. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required.

In this role, you will:

• Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

• Bring 7+ years of customer‑facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

• Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

• Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

• You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

• Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

• Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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