At a Glance
- Tasks: Design and deliver AI applications and automated workflows in a dynamic environment.
- Company: Join a major UK company investing heavily in AI engineering.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be part of a team shaping the future of AI in a supportive culture.
- Why this job: Make a real impact by building scalable AI solutions used across the business.
- Qualifications: Strong Python skills, experience with Microsoft Copilot and Power Platform required.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment.
You will work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use.
The role
You will sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include:
- Designing and building AI agents and multi-step automated workflows
- Developing production-grade Python services, APIs and automation pipelines
- Building solutions using Microsoft Copilot Studio and Power Platform
- Orchestrating workflows across Copilot Studio, Azure AI/Azure AI Foundry and internal enterprise systems
- Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures
- Developing reusable connectors, tools, services and agent capabilities
- Designing agent orchestration, tool-use and integration patterns
- Building CI/CD pipelines and automated testing frameworks
- Deploying and monitoring AI applications in production
- Ensuring solutions are scalable, observable, secure and maintainable
- Leading technical design discussions and code reviews
- Helping establish engineering standards and supporting the development of more junior engineers
What we're looking for
We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions.
- Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing
- Strong experience with Microsoft Copilot/Copilot Studio
- Strong experience with Microsoft Power Platform and workflow automation
- Experience building and deploying production AI/LLM applications, agents or AI-powered workflows
- Experience with Azure OpenAI, Azure AI/AI Foundry or comparable AI platforms
- Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations
- Strong API and systems integration experience, including REST and/or GraphQL
- Experience designing reusable services, connectors and integration components
- Microsoft Azure experience across services such as Functions, containers and AI services
- Strong CI/CD, Git and automated testing experience
- Experience with Docker, Kubernetes or Azure Container Apps
- An understanding of production monitoring, reliability and observability
- Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable.
Why join?
This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users.
Senior AI Automation Engineer | £100,000-£120,000 in Birmingham employer: Method Resourcing Solutions Ltd
Method Resourcing Solutions Ltd is an exceptional employer located in Watford, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to mentor fellow developers and enhance your skills in cutting-edge technologies while enjoying the flexibility of hybrid working arrangements and a competitive benefits package.
Contact Details:
Method Resourcing Solutions Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Automation Engineer | £100,000-£120,000 in Birmingham
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Method Resourcing Solutions Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Method Resourcing Solutions Ltd.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior AI Automation Engineer | £100,000-£120,000 in Birmingham
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Method Resourcing Solutions Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Method Resourcing Solutions Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Method Resourcing Solutions Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Method Resourcing Solutions Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.