Remote AI Architect & Tech Lead - Cloud, Production-Ready

Talent Smart; Clewer Village; À distance; GBP 129 000 - 221 000; Plein temps

Résumé du poste

Talent Smart is seeking an experienced AI Architect / Tech Lead for a largely remote UK contract in the energy sector. You will design and build practical AI solutions while staying hands-on with software engineering.

The role blends software development with cloud architecture, generative AI and agentic AI, taking solutions from design through to production. Expect hybrid collaboration with enterprise clients and a focus on scalable, secure AI systems.

Qualifications

• Strong hands-on software engineering; ability to write and explain code without AI assistants.
• Solid cloud architecture experience across Azure and AWS.
• Understanding of distributed systems, microservices and event-driven design.
• Experience building AI solutions with LLMs, RAG, vector databases and agent orchestration frameworks.
• Knowledge of agentic AI architectures and runtimes.
• Production experience including security, evaluation, monitoring and optimisation.

Responsabilités

• Design and develop AI solutions using LLMs, RAG, vector databases and agent orchestration frameworks.
• Build and deploy agentic AI solutions using LangGraph and 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.

Connaissances

Cloud architecture

Azure

AWS

LLMs

RAG

Vector databases

Agent orchestration

Distributed systems

APIs

Security

Outils

LangGraph

MCP

Description du poste

Talent Smart is seeking an experienced AI Architect / Tech Lead for a largely remote UK contract in the energy sector. You will design and build practical AI solutions while staying hands-on with software engineering.

The role blends software development with cloud architecture, generative AI and agentic AI, taking solutions from design through to production. Expect hybrid collaboration with enterprise clients and a focus on scalable, secure AI systems.