AI Engineer

Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes?

About the team: Embedded Innovation Teams are cross‑functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem‑first rather than tool‑first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster.

About the role: As an 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

• Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach.
• Implement and test tool use, retrieval pipelines, and agent workflows.
• Contribute to evaluation, observability and guardrails for agentic systems.
• Integrate AI capabilities into existing enterprise workflows and systems.
• Maintain high code quality and documentation so patterns can be reused.
• Flag technical risks and blockers early.
• Interface with technical peers to finalise requirements and complete moderately complex bug fixes.
• Build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another.
• Instrument solutions to capture outcome data against baselines.
• Work alongside host‑function stakeholders to ensure the build fits real workflows, not assumed ones.
• Support handover and capability‑building in the host function so the solution is owned and operable after the squad moves on.
• Keep abreast of new technology developments.
• Take on related responsibilities as the squad's needs evolve.

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).
• Education: BS in Engineering, Computer Science, or equivalent.
• 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.

Benefits

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
• Comprehensive Pension Plan.
• Generous vacation entitlement and option for sabbatical leave.
• Maternity, Paternity, Adoption, and Family Care leave.
• Personal Choice budget.
• Internal communities and networks.
• Various employee discounts.
• Recruitment introduction reward.
• Employee Assistance Program (global).

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.