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AI Automation Engineer

Job in Birmingham, West Midlands, B1, England, UK
Listing for: RSM UK
Full Time position
Listed on 2026-05-25
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle‑market businesses thrive. We are a fast‑growing firm with big ambitions – we have a clear goal to become the premium adviser to the middle market, globally.

Make an Impact at RSM UK

Our Tax Technology team is dynamic, fast‑paced and mission driven. We are building a specialist AI engineering capability within our internal tax technology function to design and deliver AI‑powered agents, automated workflows, and scalable integrations across enterprise platforms.

The AI Automation Engineer role sits at the intersection of applied AI, software engineering, and automation. You will build and implement production‑grade AI systems, develop workflow automations, and contribute to reusable engineering components that support enterprise‑scale deployment.

This is a hands‑on engineering role focused on delivering working systems into production within a governed enterprise environment. You will see your work used quickly in real operations, with AI tools and automation adopted directly by internal tax teams. The focus is on delivering high‑impact solutions, implementing defined patterns, and iterating based on real‑world usage.

You will make an impact by:
  • Designing and building AI agents and multi‑step workflows for internal tax use cases
  • Developing Python‑based services and automation pipelines for production use
  • Integrating AI systems with internal platforms using APIs and event‑driven architectures
  • Implementing workflows across Copilot Studio, Azure AI / Foundry, and internal systems
  • Building and extending reusable components such as connectors, tools, and agent capabilities
  • Supporting implementation of CI/CD pipelines for reliable deployment and versioning
  • Ensuring solutions are scalable, observable, and maintainable in enterprise environments
  • Contributing to engineering standards and best practices defined by senior engineers
  • Participating in technical design and code reviews
  • Collaborating with internal tax technologists to translate defined requirements into technical solutions
What we are looking for:

Are you someone who thrives on variety, loves learning new things, and enjoys connecting with people? If you can spot inefficiencies in everyday life and are passionate about making improvements, this role is perfect for you!

We value diverse experiences and perspectives. Here’s what we’re looking for in our ideal candidate:

  • Strong problem‑solving and systems thinking ability
  • Comfortable working in fast‑evolving AI environments
  • Able to balance experimentation with engineering discipline
  • Clear communicator across technical teams
  • Ability to work within defined technical direction and established engineering standards
  • Experience in automation or integration‑heavy environments
  • Experience in workflow orchestration or event‑driven systems
  • Experience with large‑scale or high‑throughput systems
  • Experience in financial, tax, or regulated environments
  • Experience in prompt evaluation, versioning, and AI governance
  • Experience in internal platform or shared services engineering
Core Engineering
  • Strong Python engineering skills (APIs, testing, modular design, async processing)
  • Experience building production‑grade applications
  • Comfortable working across an AI‑enabled stack, with depth in some areas and willingness to grow others
AI & Automation
  • Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent)
  • Understanding of agent patterns, orchestration, tool use, and LLM limitations
Integration & APIs
  • Experience with REST/Graph

    QL APIs, authentication, and system integration
  • Experience building reusable services and connectors
  • MCP or similar integration patterns desirable
Cloud & Platforms
  • Microsoft Azure experience (AI services, Functions, containers)
  • Exposure to Copilot Studio or similar ecosystems beneficial
Dev Ops & Delivery
  • CI/CD pipelines, Git workflows, automated testing
  • Deployment, monitoring, and production reliability
  • Containerisation (Docker / Kubernetes / Azure Container Apps)
What we can offer you:
  • Hybrid and Flexible working
  • 26 Days Holiday (with the…
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