Queen Square Recruitment
AI Solution Designer
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Senior AI Solution Engineer
đź’° ÂŁ550/day (Inside IR35) đź“Ť London (3 days per week onsite)
đź“… 12-Month Contract
Our client is looking for a Senior AI Solution Engineer to build and operate production-grade Generative AI solutions within a large, regulated enterprise. You’ll work directly with business stakeholders to turn complex problems into practical AI solutions, owning delivery from discovery and architecture through development, deployment, and production support.
Key Responsibilities
- Design and build production-grade GenAI applications, copilots, and AI agents.
- Develop end-to-end RAG pipelines, including ingestion, chunking, embeddings, vector search, and retrieval.
- Build agentic workflows with appropriate guardrails and human oversight.
- Develop evaluation frameworks to measure accuracy, latency, and hallucination rates.
- Own solutions through development, deployment, observability, and optimisation.
- Apply FinOps principles to manage AI and infrastructure costs.
- Embed security, privacy, IAM, encryption, and audit controls into AI solutions.
- Work with InfoSec, Data Governance, Risk, and Compliance teams.
- Create reusable AI frameworks, patterns, and technical documentation.
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Essential Experience
- 10+ years’ software engineering experience, with strong Python skills.
- Hands-on production experience building and deploying LLM-powered applications.
- Strong experience with RAG, prompt engineering, retrieval, and AI agents.
- Strong system design, API, distributed systems, and cloud-native experience.
- Experience with LLM evaluation, testing, and guardrails.
- Experience implementing security and compliance controls in production.
- Strong stakeholder communication and technical discovery skills.
- Experience working independently in complex enterprise environments.
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Desirable
- Financial services or other regulated-sector experience.
- pgvector, Pinecone, Weaviate, or Chroma.
- LangChain, LlamaIndex, or MCP.
- MLOps/LLMOps, model monitoring, and evaluation.
- Responsible AI and AI governance.
- Experience mentoring engineers and establishing technical standards.
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