Senior AI Solutions Engineer
2 days ago
City of London
Job Title: Senior AI Solutions Engineer Location: UK – Hybrid with on-site responsibilities Department: Product & Strategy Reports To: VP, Product & Strategy Employment Type: Full-time About the Company A fast-growing UK-based AI infrastructure and solutions provider is delivering next-generation enterprise AI capabilities with a strong emphasis on sustainability, data sovereignty, and real-world outcomes. Backed by significant investment and strategic partnerships, the company operates a national AI infrastructure platform that spans 50+ datacenter locations and is powered entirely by renewable energy. The mission is to help enterprises operationalise AI faster, more efficiently, and with full control over their data — offering a complete platform that combines infrastructure, software, and services. About the Role This is a strategic, customer-facing engineering role where you’ll design and deliver complex AI solutions using retrieval-augmented generation (RAG), LLM fine-tuning, and enterprise-grade inference deployment. You’ll work closely with commercial teams, product, and platform engineering to bring cutting-edge AI solutions to life for enterprise clients — all while working within a sovereign, sustainable AI mesh. Key Responsibilities Customer Solution Design • Collaborate with enterprise customers to map business problems to AI-powered workflows., • Architect full-stack solutions using RAG, fine-tuning, and scalable inference endpoints., • Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering • Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton., • Fine-tune foundation models for domain-specific use cases., • Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration • Build secure, scalable data pipelines that integrate enterprise data into vector stores and embedding models., • Optimise semantic retrieval for performance and relevance in generative AI applications. Cross-Team Collaboration • Work with infrastructure and platform engineering teams to ensure smooth deployments., • Feed insights back into the product team to shape platform features., • Mentor junior engineers and contribute to customer enablement content. Sample Success Metrics • Deliver 5+ enterprise AI deployments (RAG, fine-tuned models, inference endpoints)., • Contribute to solution accelerators (code repos, templates, tools) used across projects., • Help drive measurable revenue through technical pre-sales and solution support., • Maintain high client satisfaction scores post-deployment., • Produce thought leadership (blogs, talks, case studies) on real-world AI implementation. Required Qualifications • Background in AI/ML engineering, applied AI, or technical solutions delivery., • Strong experience with:, • Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases)., • LLM fine-tuning techniques (LoRA, PEFT, instruction tuning)., • Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes)., • Advanced Python skills; bonus for experience in Go, Java, or C++., • Direct experience working with enterprise clients., • Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications • Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms)., • Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2)., • Experience optimising GPU workloads., • Contributions to open-source AI/ML projects or toolkits. Compensation & Benefits • Competitive salary, • Potential equity or performance-based incentives, • Learning and development budget, • Hybrid work flexibility with occasional client or team site visits If you're passionate about building impactful AI systems that solve real problems — and want to work at the intersection of innovation, sustainability, and sovereignty — this is your opportunity.