AI Automation Manager

DTG Global; Birmingham; On-site; GBP 90,000 - 130,000; Full time

Job summary

A large national professional services firm is building a specialist AI engineering capability inside its technology function, and is looking for a senior engineer / manager to help lead the build. This is a hands-on role.

The team designs and ships AI agents and automated workflows that go into live use across the business, so the work is production engineering rather than proof of concept. You would be one of the more experienced engineers in a small team, setting technical standards, leading

Qualifications

• Strong Python engineering, including API design, async work, testing and modular code.
• Experience taking LLM or agent-based systems into production, not just prototypes.
• A good understanding of agent patterns, orchestration and where LLMs fall down.
• Azure experience across AI services, Functions and containers.
• Comfortable owning deployment, reliability and observability.
• Someone who can work quickly in a fast-moving area without dropping engineering discipline.
• Experience in a regulated or financial environment is useful, but not essential.

Responsibilities

• Lead design and code reviews, set technical standards in the team.
• Mentor and onboard less experienced engineers while delivering.
• Own deployment, reliability and observability for production workloads.
• Ensure engineering discipline in a fast-moving AI/ML environment.

Skills

Python engineering

API design

Async work

Testing

Modular code

LLM production

Agent patterns

Orchestration

Azure experience

Deployment & observability

Tools

Azure AI

Copilot Studio

REST

GraphQL

CI/CD

Containers

Monitoring

Job description

A large national professional services firm is building a specialist AI engineering capability inside its technology function, and is looking for a senior engineer / manager to help lead the build.

This is a hands-on role. The team designs and ships AI agents and automated workflows that go into live use across the business, so the work is production engineering rather than proof of concept. You would be one of the more experienced engineers in a small team, setting the technical standards, leading design and code reviews, and bringing on the less experienced engineers alongside your own delivery.

The stack is Microsoft. Python for services and pipelines, Azure AI and Copilot Studio for the agent and workflow layer, REST and GraphQL for integration, and the usual CI/CD, containerisation and monitoring around it.

What they are looking for:

• Strong Python engineering, including API design, async work, testing and modular code
• Experience taking LLM or agent-based systems into production, not just prototypes
• A good understanding of agent patterns, orchestration and where LLMs fall down
• Azure experience across AI services, Functions and containers
• Comfortable owning deployment, reliability and observability
• Someone who can work quickly in a fast-moving area without dropping engineering discipline

Experience in a regulated or financial environment is useful, as is anything around prompt evaluation, versioning or AI governance, but neither is essential.