Senior AI Engineer -

Role/Job title
Senior AI Engineer
Work Location
London/UK
Role type - Permanent/Fixed Term/Contracting
Contracting
Mode of working - Hybrid/office based
Hybrid
If Hybrid, how many days are required in office?
1
Number of positions
1
Unit
IS-CBG-Retail-UK-Benelux-France
Duration of assignment
6 months - 12 Months
Any other working conditions - travel/on call/shifts
No
To be published on job boards from below onwards
This role will have a significant impact on delivering innovative solutions for one of the leading retailers in the UK, driving digital transformation and enhancing customer experiences.

You'll work on projects that leverage cutting-edge technologies such as microservices, event-driven architectures, and cloud platforms, contributing to scalable, secure, and high-performing systems.

Your responsibilities

Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution
Build scalable AI applications using Python as the core development language
Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies
Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows
Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks
Design memory, state management, and context-aware agent behaviors
Optimize performance, cost, and latency of LLM-based solutions
Collaborate with solution architects, product teams, and stakeholders to translate business use cases into AI solutions
Ensure governance, security, and responsible AI practices are Embedded into solutions
Your Profile
Key Responsibilities
Design agent architectures
Define orchestration patterns
Design tool strategy and integration approach
Lead implementation of AI services
Establish coding standards and best practices
Guide evaluation and safety approaches
Support production deployments and troubleshooting
Hands-on Skills Required
Design multi-agent solutions
Design RAG architecture
Implement complex orchestration workflows
Build scalable AI microservices
Define AI governance patterns
Troubleshoot production AI solutions
Productionised AI solution
Must have Technology skills:
Azure OpenAI
Azure AI Foundry
Semantic Kernel
LangGraph
MCP
Azure AI Search
Event-driven architectures
Strong proficiency in Python
Data & Vector Stores: Knowledge of vector databases, embeddings, semantic search and relational/NoSQL databases
Software Engineering: REST APIs, Docker, Kubernetes, MLOps/LLMOps