AI Specialist
CV-LibraryLeeds, West YorkshirecontractPosted: 19 March 2026
Apply NowAI Specialist – GenAI / LLM / AI Architecture
We’re seeking an experienced AI Specialist / AI Architect to lead the design, governance and delivery of enterprise-scale Generative AI (GenAI) solutions.
This is a high-impact role focused on LLMs, RAG (Retrieval-Augmented Generation), and agentic AI systems, working across strategy, architecture and hands-on delivery.
Key Responsibilities:
* Design and implement LLM-based solutions, including RAG pipelines, vector databases, and embeddings
* Define AI architecture, frameworks, and governance standards for enterprise adoption
* Lead AI strategy, roadmap and proof-of-concepts (PoCs)
* Evaluate models, benchmark performance, and manage AI risk and responsible AI frameworks
* Develop agentic AI / multi-agent systems with orchestration, memory and tool usage
* Work closely with senior stakeholders to guide AI investment and decision-making
Key Skills & Experience:
* Strong experience in Generative AI, LLMs, and AI engineering
* Hands-on delivery of RAG, vector search, embeddings, and prompt engineering
* Experience with AI governance, AI risk, or responsible AI
* Cloud experience: Azure, AWS or GCP AI platforms
* Background in AI architecture, ML platforms, or AI solutions design
* Ability to communicate complex AI concepts to senior stakeholders
Desirable:
* Experience in financial services or regulated environments
* Exposure to LangChain, Azure OpenAI, Bedrock or Vertex AI
This role suits someone operating at Lead / Principal / Architect level who enjoys combining deep technical AI expertise with strategic influence
We’re seeking an experienced AI Specialist / AI Architect to lead the design, governance and delivery of enterprise-scale Generative AI (GenAI) solutions.
This is a high-impact role focused on LLMs, RAG (Retrieval-Augmented Generation), and agentic AI systems, working across strategy, architecture and hands-on delivery.
Key Responsibilities:
* Design and implement LLM-based solutions, including RAG pipelines, vector databases, and embeddings
* Define AI architecture, frameworks, and governance standards for enterprise adoption
* Lead AI strategy, roadmap and proof-of-concepts (PoCs)
* Evaluate models, benchmark performance, and manage AI risk and responsible AI frameworks
* Develop agentic AI / multi-agent systems with orchestration, memory and tool usage
* Work closely with senior stakeholders to guide AI investment and decision-making
Key Skills & Experience:
* Strong experience in Generative AI, LLMs, and AI engineering
* Hands-on delivery of RAG, vector search, embeddings, and prompt engineering
* Experience with AI governance, AI risk, or responsible AI
* Cloud experience: Azure, AWS or GCP AI platforms
* Background in AI architecture, ML platforms, or AI solutions design
* Ability to communicate complex AI concepts to senior stakeholders
Desirable:
* Experience in financial services or regulated environments
* Exposure to LangChain, Azure OpenAI, Bedrock or Vertex AI
This role suits someone operating at Lead / Principal / Architect level who enjoys combining deep technical AI expertise with strategic influence