Senior AI Engineer

DCV Technologies; City Of London; On-site; GBP 90,000 - 160,000; Full time

Job summary

DCV Technologies, a leading UK AI engineering partner, seeks a senior AI architect to design agent architectures and multi-agent orchestration across Azure OpenAI, Semantic Kernel, and LangGraph. You will build scalable AI microservices using Python, manage tool integration, and ensure governance and responsible AI practices throughout deployments.

The role focuses on delivering innovative, cost-efficient, and secure AI solutions for a major UK retailer, with emphasis on multi-step reasoning,

Qualifications

• Design agent architectures and orchestration patterns.
• Lead implementation of AI services with Python and Azure OpenAI.
• Establish governance, security and responsible AI practices.

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

Skills

Agent architectures

RAG architecture

Multi-agent design

Python proficiency

Production AI solutions

Troubleshooting production AI

Tools

Azure OpenAI

Azure AI Foundry

Semantic Kernel

LangGraph

MCP

Azure AI Search

Event-driven architectures

Docker

Kubernetes

MLOps/LLMOps

Knowledge vector stores

Job description

The Role

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