About this role
Salary: £? - ? per year
Requirements: Strong hands-on software engineering skills, including the ability to write and explain code independently without relying on AI coding assistantsSolid cloud architecture experience across Azure and AWSStrong understanding of distributed systems, APIs, microservices, and event-driven architecturePractical experience building AI solutions using LLMs, RAG, vector databases, and agent orchestration frameworksKnowledge of agentic AI architectures, agent runtimes, and design patternsExperience taking AI solutions into production, including security, evaluation, monitoring, and optimisationExcellent problem-solving, critical-thinking, and communication skills, with a collaborative approach to engineering Responsibilities: Design and develop AI solutions using LLMs, RAG, vector databases, and agent orchestration frameworksBuild and deploy agentic AI solutions using tools such as LangGraph and protocols such as MCPDevelop scalable architectures across Azure and AWS, leveraging microservices, APIs, and event-driven systemsEstablish production-ready AI solutions, covering security, evaluation, observability, performance, scalability, and cost optimisationApply strong software engineering principles and architectural patterns to deliver robust, maintainable solutionsAssess when AI and agent-based approaches are appropriate and select the right technology for each use case Technologies: Agentic AIAIAWSArchitectAzureCloudMCPRAGSecuritymicroservices More:
We are seeking an experienced AI Architect / Tech Lead to join an enterprise client in the energy sector. This is an outside IR35 contract, largely remote-based in the UK, offering the opportunity to design and build practical AI solutions while remaining hands-on with software engineering. The role combines software development fundamentals with cloud architecture, generative AI, and agentic AI, taking solutions from design through to production.
last updated 42 week of 2026