Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE
Remote First, some trips to client offices and HQ
Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm's long-term AI engineering capability.
As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution.
The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients.
You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions.
Key Accountabilities
Client-Facing AI Engineering & Agentic System Design
You will design and deliver production-grade AI systems for external clients, including:
* LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops
* Multi-agent architectures, including planning, delegation, safety constraints and monitoring
* Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows
* Ontology and knowledge modelling literacy to enable precise reasoning and data alignment
* Integrations and automation via APIs, tools and enterprise systems
* Prompt engineering at scale, including pattern libraries, guardrails and explainability checks
You will lead technical design within client engagements and set architectural direction across delivery pods.
Technical Discovery, Feasibility & Solution Architecture
Working closely with consulting counterparts, you will:
* Translate ambiguous client problems into clear, feasible engineering approaches
* Assess client data, platforms, security constraints and operating models
* Contribute to framing, use-case shaping and technical scoping discussions
* Work directly with client domain experts to surface edge cases and operational realities
* Produce clear, lightweight technical artefacts for client and internal audiences
Delivery Excellence, AI Ops & Reliability
You will ensure client solutions are safe, observable and enterprise-ready by:
* Implementing evaluation frameworks and safety checks across models and agents
* Designing monitoring, logging, tracing and incident-response patterns
* Applying governance, risk and compliance principles within client environments
* Supporting releases, environments and handover into client operations
* Ensuring reliability, reproducibility, performance and cost controls
Experience & Skills
This is a senior, hands-on consulting engineering role. Candidates should bring:
* Solid experience in software engineering, AI engineering, or applied data engineering
* Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases
* Experience designing or implementing multi-agent systems or tool-calling frameworks
* Strong Python skills with experience building production-grade systems
* Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic)
* Familiarity with semantic modelling, ontologies, or knowledge graph concepts
* Proven ability to rapidly prototype solutions for client validation
* Experience working directly with clients in consulting or professional services contexts
Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Business Consulting sectors across the UK & EMEA.