Senior AI Engineer

About the role

We’re looking for a Senior AI Engineer to help build and scale a large organisation’s unified AI assistant platform. It is a conversational AI product that supports a handful of use cases today, and it is growing into the single entry point for AI-driven interactions across the business.

This is a hands-on engineering role. You’ll design, build and ship core platform capabilities, shape engineering standards, and help work through the technical trade-offs as the platform grows into a multi-layer AI ecosystem covering governance, data, models, orchestration and user experience.

You’ll work closely with delivery teams, enterprise architecture and business stakeholders to deliver near-term priority use cases while building toward the long-term target state.

Key responsibilities

• Design, build and maintain core components of the AI assistant platform, including the “front door” experience that routes users to the right capabilities and agents.

• Engineer across the control plane and runtime layer, including agent registry, evaluations, observability, orchestration, inference and memory.

• Build and integrate the data and model foundations that power the platform, including retrieval pipelines, model selection and serving, and prompt and context management.

• Implement governance, identity and access controls that apply consistently to every agent, including line-of-business agents.

• Contribute to the technical roadmap by estimating effort, identifying dependencies and advising on how capabilities should be sequenced across delivery stages.

• Help define and apply engineering standards and best practices for building, testing, deploying and monitoring AI agents and LLM-based services.

• Provide technical guidance and code review for delivery teams building on the platform, and mentor other engineers.

• Write and maintain clear technical documentation, including design docs, architecture decision records, integration guides and runbooks.

• Take on other technical work related to the platform as needed.

About you

• Senior-level experience building production AI, LLM or conversational AI systems, ideally at enterprise scale.

• Strong hands-on skills across the AI stack, such as RAG and data pipelines, LLM orchestration and agent frameworks, inference and model serving, memory and state management, and evaluation and observability tooling.

• Solid software engineering fundamentals: API design, distributed systems, cloud platforms (AWS, Azure or GCP), CI/CD and testing.

• Experience breaking down complex platform goals into well-scoped, deliverable increments.

• Confidence working with multiple teams and stakeholders, and making sound technical calls within your area of ownership.

• Strong documentation habits: you write design docs, standards and decision records that other engineers can follow.

• Highly regarded: experience with AI governance, responsible AI frameworks, or identity and access patterns for agentic systems.