AI & Emerging technologies

Lead AI Engineer (LLM & Agentic Consulting Architect)

Staffworx Limited

London · Greater London · United Kingdom

Overview

In this senior, hands-on consulting engineering role, you design and deliver production-grade AI systems for enterprise clients, focusing on agentic architectures, retrieval stacks, and semantic layers. You’ll lead technical design within client engagements and help shape the firm’s AI engineering capability. You collaborate with clients and cross-functional teams to translate complex challenges into reliable AI solutions. This position offers impact across client outcomes and practice-building initiatives, with opportunities to work on cutting-edge AI systems.

Pay / Benefits
  • excellent salary
  • bonus
  • full benefits
Responsibilities
  • Design and deliver production-grade AI systems for external clients (LLM apps, orchestration, evaluation loops)
  • Lead technical design within client engagements and set architectural direction across delivery pods
  • Conduct technical discovery, feasibility, and solution architecture with client stakeholders
  • Ensure reliability, safety, monitoring, and governance in client deployments
  • Build reusable accelerators, patterns, and templates for client delivery and internal enablement
  • Contribute to internal playbooks, training, and sharing deep-tech insights
  • Shape delivery methodology, standards, and architectural patterns
Key requirements
  • Experience in software engineering, AI engineering, or applied data engineering
  • Hands-on experience with LLMs, embeddings, RAG, retrieval stacks, vector databases
  • Design or implement multi-agent systems or tool-calling frameworks
  • Strong Python skills and production-grade system experience
  • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic)
  • Familiarity with semantic modelling, ontologies, or knowledge graphs
  • Proven ability to prototype solutions for client validation
  • Experience working directly with clients in consulting or professional services
  • Client-facing communication
  • Problem-solving and critical thinking
  • Collaboration and cross-functional teamwork
  • LLMs and prompt engineering
  • Multi-agent system design
  • Retrieval, embeddings, vector databases

Reference: WJ-747_31178849

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