Our AI Acceleration organization is building high-impact AI-powered applications that deliver real business value at speed. As a Staff AI Engineer, you'll play a critical role in designing, building and deploying scalable AI-powered applications through proven software engineering completion combined with pragmatic use of modern Data Science and AI capabilities.

This is a role for top-tier engineers who are excited about applying AI in practical and scalable ways. We're looking for strong technical leaders who thrive at the intersection of well-adapted software development and modern AI application.

You should be comfortable working across the full lifecycle of a product,from ideation, architecture and data modelling to deployment, automation and operations,while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are crucial.

You will work closely with engineers, data scientists, product managers, and business stakeholders to define problems, shape solutions, and ensure models perform reliably in the real world.

If you're passionate about building AI solutions that go beyond prototypes,solutions that are engineered for scale, reliability, and real-world value,AI Acceleration is the team for you.

Job Responsibilities

• Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
• Define and implement foundational platforms (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
• Lead architectural decisions, bringing standard processes in software development lifecycle, explainable, and responsible AI.
• Lead multi-functional team initiatives,embedded projects with business stakeholders,to rapidly build and deploy AI solutions that tackle high-priority problems.
• Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation) into robust applications.
• Champion automation in workflows,from data ingestion and preprocessing to model integration and deployment. Define their success criterias, metrics and standard operation procedures.
• Partner with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
• Stay ahead of with emerging AI technologies but prioritize practical application and delivery over experimental research.
• Chip in to the internal knowledge base, tooling libraries, and documentation to scale engineering practices across the organization.
• Mentor other engineers and data scientists and provide technical leadership across projects, helping set the standard for rigor and impact.

Job Qualifications

• Required:
• 7+ years of professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
• Experience with large language models (LLMs), vector-based search, retrieval-augmented generation (RAG), or unstructured data processing.
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence.
• Strong problem-solving skills and a bias for action, with the ability to navigate ambiguity and lead through complexity.
• Strong experience with technical mentorship and cross-team influence.
• Ability to translate complex technical ideas into clear business insights and communicate effectively with cross-functional partners.
• Preferred:
• Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
• Experience building reusable modeling components or contributing to internal ML platforms.
• Background in working with embedded teams or in forward-deployed environments where rapid iteration and close business collaboration are key.
• Proficiency in Python and common ML/data science libraries (e.g., scikit-learn, pandas, NumPy, PyTorch, TensorFlow).
• Solid knowledge of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and statistical inference.
• Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
• Experience building chatbots, search systems, or generative AI interfaces.
• Background in working within platform engineering or internal developer tools teams.

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We are seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges.

Our Client is one of the United States' largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support.

Key Responsibilities:

• Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics.
• Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications.
• Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction.
• Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems.
• Debug and improve existing Verint implementations for performance, scalability, and user experience.
• Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies.
• Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment.
• Document technical specifications, architecture designs, and system integration processes.

Benefits:

• Opportunity to work on cutting-edge AI initiatives.
• Collaborative work environment that promotes innovation and creativity.
• Comprehensive benefits package and professional development opportunities.

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Responsibilities:

• Lead a high-performing team of Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
• Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
• Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
• Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
• Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
• Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
• Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
• Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
• Maintain awareness of industry trends and emerging technologies to inform technical decisions.
• Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
• Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
• Lead technical decisions that drive data innovation and resilience.
• Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
• Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
• Design solutions for cost and consumption optimization, scalability, and performance.
• Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
• Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
• 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements with:

+ Expertise in programming languages such as Python or Scala, and strong SQL skills. + Experience with ETL/ELT processes, data warehousing, and data modeling. + Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management. + Familiarity of data governance, privacy, quality, and monitoring.

• Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
• 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
• 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
• 5+ years of experience in Big Data environments or expertise with Big Data tools, including:

+ Data processing frameworks and data modeling. + In-depth knowledge and practical experience with Google Cloud Platform services. + Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.

• Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Expertise in GCP based data engineering services like BQ, Dataflow, Airflow, Dataform, Datastream, Apache Beam, Cloud Run, Cloud Functions
• Familiarity with automotive Product Development processes, including program planning, design validation, and cross-functional collaboration across engineering, manufacturing, and supplier teams to deliver data-driven insights at each lifecycle stage
• Experience in managing and scaling serverless applications and clusters, focusing on resource optimization and robust monitoring and logging strategies.
• Proficiency in unstructured data ingestion, including experience with data modeling and preparation techniques to support AI and machine learning workloads.
• Experience with AI architecture and AI enabling tech (graph database, vector database, etc)
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Working knowledge of ontology, semantic modeling, and related technologies

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You'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? You'll partner closely with product, engineering, and design to define quality metrics, uncover edge cases, and guide decisions with data. This is an IC role for someone eager to be hands-on, but it can grow into a leadership position establishing the Data function at Gamma.

You'll thrive here if you're curious, comfortable with ambiguity, and excited to figure out what questions to ask rather than just answering the ones given to you.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Build frameworks that help the team understand AI model performance, user behavior, and product health across Gamma's platform
• Dig into AI model outputs across user cohorts to identify quality gaps and create evals and metrics to measure improvement
• Partner with engineering and product to define quality metrics for AI-generated content and user satisfaction
• Develop statistical models and frameworks that empower product teams to make data-informed decisions independently
• Design and analyze large-scale A/B tests and experiments with statistical rigor to measure product impact and guide prioritization

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The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. You will develop metrics for Copilot usage and quality, drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. You will also drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.

You will enable A|B experimentation for new features, hands-on analysis of large volumes of telemetry data using various algorithms and tools, and articulate insights, storyboard with data and communication to influence leadership and other key decision makers. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

We're looking for someone who thinks deeply about measurement and human-AI interactions, and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

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Aladdin Portfolio Management Product - Technical Product Manager

BlackRock is the world's leading asset management firm and Aladdin is the central nervous system for investment professionals to see their whole portfolio, understand risk exposure, and act with precision. It is a $1BN+ technology business that has significant growth aspirations over the next five years. Being a part of BlackRock means being a part of a community of smart, results-oriented people who are pursuing some of the world's most sophisticated financial challenges. And our founder-led culture has maintained its results-oriented feel — we work hard, we work as a team, and we work with purpose. Being a member of Aladdin Product means working with the best in the industry to build innovative products that shape financial markets.

Sitting at the intersection of business, design, and technology, the Aladdin Product Management team works closely with developers, designers, researchers, data scientists, and other stakeholders to innovate, conceptualize, design, and pilot new capabilities across the investment lifecycle. As a Technical Product Manager, you will help define product vision and lead day-to-day execution of the roadmap, with a strong focus on user experience, platform APIs, and AI-enabled capabilities. There are many strategic areas that need exploration, evaluation, and prioritization, while in parallel ensuring that the tactical needs for continuing to deliver high-quality products are met.

You are:

• Passionate about building technical, user-centered solutions in close partnership with engineering and UX/UI teams

• A self-starter who enjoys solving complex problems that deepen understanding of end users and their workflows

• Comfortable translating user needs into scalable APIs, data models, and platform capabilities

• AI-curious and AI-practical: you actively use AI tools to accelerate discovery, writing, analysis, and experimentation, and can distinguish durable product value from one-off demos

• Curious to learn new skills and willing to embrace work outside of your comfort zone

• Comfortable challenging the status quo and using your entrepreneurial spirit to create new solutions

• A team player energized by working in a fast-paced, highly collaborative environment

We are:

• Passionate about building innovative, intuitive products that meet the needs of our clients

• Building AI-enabled capabilities responsibly, with a strong focus on trust, governance, and measurable outcomes

• Comfortable challenging the status quo and continuously improving how we deliver value

• Curious about financial markets, design systems, and the evolving technology ecosystem

• Results-oriented and metrics-driven

• Committed to fostering a purpose-driven culture and working horizontally to break down silos

Primary Responsibilities:

• Partner with teams across Aladdin and interact with senior stakeholders to drive strategic product decisions that accelerate the platform’s evolution

• Define and document detailed product requirements, including UX flows, API contracts, and data interfaces

• Collaborate closely with design to ensure products are intuitive, consistent, and aligned with Aladdin design standards

• Identify opportunities where AI can improve user workflows (e.g., insight generation, explanation, automation, natural-language interaction), and ensure thoughtful, transparent application

• Attend and help manage agile development rituals such as stand-ups, planning, demos, and retrospectives

• Develop, prioritize, and maintain product roadmaps; provide regular updates on progress and deliverables

• Maintain and manage product backlogs and tooling (e.g., Aha!) across the program

• Keep abreast of the competitive landscape, emerging technologies, and opportunities for partnership

• Become a subject matter expert and provide technical and product expertise to internal stakeholders, sales teams, and clients

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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