Senior AI Solutions Engineer (Team Lead)

About the role

Lead the end-to-end delivery of production-ready enterprise AI solutions powered by Large Language Models (LLM), Retrieval-Augmented Generation (RAG) and agent-based workflows — owning solution architecture, driving hands-on delivery, and serving as the senior technical point of contact for customers. This is a hands-on leadership role: the person both builds and leads. They take solutions from proof-of-concept to stable production, set delivery and engineering standards, mentor the team, and turn each engagement into reusable capability that scales across multiple customers and use cases.

Key responsibilities

• Translate customer requirements into practical, scalable solution architectures, workflows and delivery plans
• Own the technical design of AI solutions — knowledge bases, RAG pipelines, agent and workflow automation, authentication and system integration
• Select models, frameworks and configurations based on quality, latency, cost, security and business requirements
• Design modular, reusable AI capabilities that can be applied across multiple customers and use cases
• Lead delivery from proof-of-concept through to production and continuous optimisation, ensuring quality, security and timeliness
• Mentor and review the work of the AI Solutions Engineer(s); set engineering standards and best practices
• Establish AI evaluation, automated testing, logging and monitoring; drive optimisation of prompts, workflows and model choices
• Act as the senior technical lead in customer discussions, demonstrations, proof-of-concepts and implementation workshops
• Oversee integration with customer systems — APIs, databases, messaging channels and enterprise platforms
• Ensure solutions meet security, data-privacy, access-control, explainability and audit requirements

About you

• Degree in Computer Science, AI, Software Engineering, Information Technology, Data Science or a related discipline
• Around 2–3 years of hands-on software / AI delivery experience, including production LLM / RAG / agent solutions delivered from proof-of-concept to production
• Demonstrated experience leading delivery or mentoring engineers, ideally in a customer-facing setting
• Strong Python and software-engineering fundamentals
• Experienced with APIs, databases, backend development and system integration
• Familiar with cloud platforms, Docker, Git, CI/CD and monitoring
• Strong command of mainstream large language models and model selection
• Skilled in prompt engineering, structured output and tool calling
• Experienced in RAG, vector search and knowledge-base development
• Able to design and build AI agents and automated workflows

Benefits

• Dental Coverage