You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.

• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.

• Provide white glove deployment support for Anthropic products in enterprise environments.

• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.

• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.

• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.

• Travel frequently (25-50%) to customer sites to build in person with customers.

• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have:

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.

• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.

• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.

About the Role

We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You'll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.

Responsibilities

• Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more
• Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
• Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP's, and Agent Skills
• Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
• Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
• Help shape team processes and culture as we scale from 1 to N
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

You Might Be a Good Fit If You Have

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience
• Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints
• A love of teaching, mentoring, and helping others succeed
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

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. 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. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal

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Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.
• Provideษ deployment support for Anthropic products in enterprise environments.
• Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.
• Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.
• Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Frequently travel (25-50%) to customer sites to build personal relationships with them.
• Be a champion of the Anthropic mission on the ground.

Profile

• You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. Former technical founders are also encouraged to apply.
• You have experience in production with LLMs, including advanced engineering of prompts, development of agents, evaluation frameworks, and large-scale deployment.
• You have solid programming skills with a mastery of Python (and ideally one or more other languages such as TypeScript, Java, etc.) and experience shipping production applications.

High action capacity, able to navigate the ambiguity that characterizes complex organizations.

• High cooperation spirit for inter-organizational collaboration, balancing competing priorities with integrity.
• Passion for promoting safe and beneficial AI systems through creative technical applications.
• Solid communication skills to lead exploratory discussions with customers and convey technical concepts to various stakeholders while maintaining a humble and collaborative attitude.
• Experience in the finance, healthcare/life sciences, or another industry is an asset.
• Experience with enterprise IT systems and/or AI deployment models is an asset.

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.
• Provide deployment support for Anthropic products in enterprise environments.
• Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.
• Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.
• Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Frequently travel (25-50%) to customer sites to build personal relationships with them.
• Be a champion of the Anthropic mission on the ground.

Profile

• You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. Former technical founders are also encouraged to apply.
• You have experience in production with LLMs, including advanced engineering of prompts, development of agents, evaluation frameworks, and large-scale deployment.
• You have solid programming skills with a mastery of Python (and ideally one or more other languages such as TypeScript, Java, etc.) and experience shipping production applications.

High action capacity, able to navigate the ambiguity that characterizes complex organizations.

• High cooperation spirit for inter-organizational collaboration, balancing competing priorities with integrity.
• Passion for promoting safe and beneficial AI systems through creative technical applications.
• Solid communication skills to lead exploratory discussions with customers and convey technical concepts to various stakeholders while maintaining a humble and collaborative attitude.
• Experience in the finance, healthcare/life sciences, or another industry is an asset.
• Experience with enterprise IT systems and/or AI deployment models is an asset.

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As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in person with customers.
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have:

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.
• Experience working as an FDE or in a professional services context is a plus.

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

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San Francisco; New York City; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $185K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

We’re building up the core Swift platform, from architecture to CI, that enables hundreds of engineers (and their agents) to develop new capabilities in ChatGPT, Atlas, Sora, and other rapidly evolving apps. Our focus is helping teams move quickly while improving on performance or reliability.

About the Role

We’re hiring Staff+ engineers with a variety of iOS platform backgrounds, including people who may specialize in performance, build/CI, or AI developer productivity. Whether you focus on UI frameworks or automated testing, your work will show up as less friction, less complexity, fewer regressions, and better performance.

If you're rethinking how to scale Swift development in the context of increasingly capable AI tools, this is the role for you.

We are hiring in San Francisco, New York and Seattle.

In this role, you may:

• Build and evolve foundational Swift frameworks used across multiple apps and platforms (caching, state management, observability, navigation, component systems).

• Improve app performance (startup, responsiveness, memory, battery) through profiling, visibility, regression prevention, or architecture patterns.

• Strengthen reliability: systemically reduce crashes, improve error handling, or drive release process improvements.

• Embed with product engineering teams in order to understand pain points or emerging infrastructure needs.

• Develop internal tooling and automation (Bazel, CI, testing, guardrails, Codex agent skills and systems) that increase engineering velocity.

• Translate messy real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

You might thrive in this role if you:

• Have strong iOS engineering fundamentals (Swift, concurrency, networking, Xcode ecosystem, some UIKit/SwiftUI) and are familiar with the latest features and practices.

• Gravitate towards platform problems: frameworks, architecture, performance, or tools that empower and accelerate others.

• Take ownership: continually identify the biggest risks/opportunities, drive projects to completion, and update quickly.

• Care about measurement: instrument, define metrics, run experiments, and iterate based on data.

• Have strong communication and collaboration skills—aligning on interfaces, navigating tradeoffs, and driving cross-team execution.

• Tend to think in systems, fight entropy, and enjoy an ambiguous challenge.

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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