Job title: AI Specialist (AI Foundry)
Job type: Contract
Emp type: Full-time
Pay interval: Daily
Pay rate from: GBP £500.00
Pay rate to: GBP £550.00
Location: Leeds
Job published: 18/03/2026
Job ID: 33271
Contact name: Dr Sanjeev Mehta
Contact email: sanjeev@sushtalent.co.uk

Job Description

Job Title-AI Specialist (AI Foundry)

Client-Global Consulting Firm

Day Rate-£500-£550 (Outside IR35)

Duration-6 months (extendable)

Location-Leeds (Hybrid, 3 days per week)

 

  • Translate complex concepts into clear guidance for executives and governance forums.
  • Contribute to AI strategy, roadmap and horizonscanning, informing investment and risk posture.
  • Provide insight to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.
  • Lead enterprisewide assurance for highrisk AI systems, conducting deep reviews, assessing model and agent behaviour under stress conditions, identifying systemic risks, and recommending designlevel mitigations to ensure solutions remain robust, ethical and compliant.
  • Serve as the subject matter expert on AI technologies, including large language models (LLMs) and agentic AI, providing insights and recommendations to support business cases and investment decisions.
  • Lead exploration and proofofconcepts for multiagent, toolusing and semiautonomous workflows.
  • Define enterprise AI patterns for orchestration, prompt governance, vector search, memory and agent frameworks.
  • Act as a key influencer and advisor to senior management and governance forums, providing expert guidance on AI-related decisions and strategies.
  • Advise on model selection, prompting strategies, data approaches and tradeoffs for safe, highperforming solutions.
  • Shape and govern agentic AI patterns (memory, planning, tool use, autonomy constraints, escalation).
  • Guide RAG implementations, vector databases, embedding pipelines and content governance models.
  • Ensure strong data foundations (quality, lineage, metadata, privacy, access controls) for AI workloads.
  • Drive crossfunctional technical AI enablement by developing advanced tooling, accelerators and evaluation frameworks, enabling teams to experiment safely, adopt bestpractice AI patterns, and scale AI delivery with higher consistency and lower technical debt.
  • Define standards, guardrails, and reusable frameworks for Copilot/LLM/agentic solutions.