Are you excited about building intelligent systems powered by cutting-edge AI technologies?
Do you enjoy designing models that turn complex data into impactful solutions?About the role: As a Senior AI Engineer, you will build and ship AI-powered features as part of a cross-functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines, and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability, and guardrails.
You will hold a high bar on code quality, flag risks and blockers early, and work alongside host-function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability-building so the solution is owned and operable after the squad moves on.
Key Responsibilities:- Building prototypes and proofs of concept and ship agentic AI solutions to production standards within a defined technical approach.
- Implementing and testing tool use, retrieval pipelines, and agent workflows.
- Contributing to evaluation, observability, and guardrails for agentic systems.
- Integrating AI capabilities into existing enterprise workflows and systems.
- Maintaining high code quality and documentation so patterns can be reused.
- Flagging technical risks and blockers early.
- Interface with technical peers to finalize requirements and complete moderately complex bug fixes.
- Building solutions for reuse, contributing to patterns, reference implementations and starter kits so work done in one function can be picked up by another.
- Implementing solutions to capture outcome data against baselines.
- Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones.
- Supporting handover and capability-building in the host function so the solution is owned and operable after the squad moves on.
Requirements: - Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows).
- Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions.
- Agentic AI / LLMs: Building RAG pipelines, tool-augmented agents, and agentic workflows; familiar with prompt engineering, context management, evaluation, and observability.
- Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi-step tasks.
- Enterprise integration: Integrating AI into existing systems via APIs and data pipelines.
- Cloud: AWS, Azure or GCP.
- Delivery: CI/CD, modern SDLC, TDD and code review.
- Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles.
- Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.
- Communication: Clear written and verbal communication with technical peers and stakeholders.
- Measurement: Instrumenting solutions to capture usage, productivity and quality metrics against established baselines.
U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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