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AI Architect/Tech Lead
Remote / Online - Candidates ideally in
Eton Wick, Windsor, Berkshire, SL4, England, UK
Listed on 2026-10-14
Eton Wick, Windsor, Berkshire, SL4, England, UK
Listing for:
Talent Smart
Full Time, Remote/Work from Home
position Listed on 2026-10-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below
Location: Eton Wick
AI Architect / Tech Lead
* Remote-based (UK)
* Outside IR35
We are seeking an experienced AI Architect / Tech Lead to join an enterprise client within the energy sector. This is an outside IR35 contract, largely remote-based, offering the opportunity to design and build practical AI solutions while remaining hands-on with software engineering.
The ideal candidate will combine strong software development fundamentals with expertise in cloud architecture, generative AI and agentic AI, taking solutions from design through to production.
Key Responsibilities
* Design and develop AI solutions using LLMs, RAG, vector databases and agent orchestration frameworks.
* Build and deploy agentic AI solutions using tools such as Lang Graph and protocols such as MCP.
* Develop scalable architectures across Azure and AWS, leveraging microservices, APIs and event-driven systems.
* Establish production-ready AI solutions, covering security, evaluation, observability, performance, scalability and cost optimisation.
* Apply strong software engineering principles and architectural patterns to deliver robust, maintainable solutions.
* Assess when AI and agent-based approaches are appropriate, selecting the right technology for each use case.
Essential Skills & Experience
* Strong hands-on software engineering skills, with the ability to write and explain code independently without relying on AI coding assistants.
* Solid cloud architecture experience across Azure and AWS.
* Strong understanding of distributed systems, APIs, microservices and event-driven architecture.
* Practical experience building AI solutions using LLMs, RAG, vector databases and agent orchestration frameworks.
* Knowledge of agentic AI architectures, agent runtimes and design patterns.
* Experience taking AI solutions into production, including security, evaluation, monitoring and optimisation.
* Excellent problem-solving, critical thinking and communication skills, with a collaborative approach to engineering.
More details available on successful application
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