At a Glance
- Tasks: Lead the technical direction of AI delivery pods and ensure high-quality outputs.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to work with cutting-edge technology.
- Why this job: Shape the future of AI systems and make a real impact in a dynamic environment.
- Qualifications: Experience in building AI systems and strong software engineering skills required.
The predicted salary is between 80000 - 100000 £ per year.
They’re building new AI delivery pods where engineers and AI workers build, test, ship and run real product.
The key thing now is making sure that doesn’t become a mess.
The business needs someone senior enough to own the technical direction, make the architecture calls and set clear standards around how AI systems are built, evaluated, secured and scaled.
You’ll be the most senior technical person across the pods, owning how agents, models, tooling, data flows and security boundaries work in practice.
The work is hands-on, but not just delivery.
You’ll be deciding which models to use, how agents should be orchestrated, when to build or buy, how output should be tested, and how to make AI workers a reliable part of the team rather than something people experiment with on the side.
- What you’ll be doing
- Owning the AI-native technical architecture across the pods
- Defining patterns for agents, orchestration, model selection and tooling
- Setting standards around code quality, prompt engineering, testing and evaluation
- Making technical decisions on build vs buy, re-architecture and tooling choices
- Working directly with AI workers and improving the quality of their output
- Mentoring AI Engineers and Graduates
- Working with security and compliance around data, tooling and governance
- Managing tooling subscriptions, usage costs and API spend
- Helping prove how the pod model scales beyond the first teams
- What they’re looking for
- Hands‑on experience building AI, LLM or agentic systems in production
- Strong understanding of RAG, agent orchestration, prompt engineering and evaluation frameworks
- Experience owning architecture decisions across security, observability and cost
- Someone comfortable making technical decisions in a fast‑moving environment
- Someone who can create standards and structure without slowing delivery down
- Best practice comes naturally to you and you like implementing it.
- Strong software engineering background, ideally with .
NET / C#, so you can stay close to the product code and make sensible architecture decisions rather than just owning the AI layer in isolation
The bigger thing is being able to bring structure to AI delivery without turning it into heavy process.
You’ll suit this if you’ve built real AI systems, understand the detail behind the tooling, and want ownership of how small AI-native pods deliver properly.
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Technical Lead - AI Native in Manchester employer: Socium
At Socium, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Analytics Engineer in Manchester, you will benefit from continuous professional development opportunities, a supportive team environment, and the chance to make a significant impact on our data governance practices. Join us to be part of a forward-thinking company that values your expertise and encourages growth.
