Title: Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: £110,000 - £130,000 Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy

Immersum are supporting the growth of an AI consultancy who are on a mission to build something extraordinary. They integrate digital and human intelligence, helping clients use AI as second nature. They create meaningful work that drives positive change, giving customers a competitive advantage while building a culture of innovation and impact.

We’re looking for talented engineers to join a customer-facing AI practice, as Senior Forward Deployed Engineers . You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles.

This is a role for engineers who: Enjoy building real software that makes a difference Are passionate about AI and its practical application Thrive at the intersection of technical leadership and client engagement

What You’ll Do Customer-Facing Leadership Lead discovery workshops with technical and business stakeholders Represent the organisation’s technical capabilities in high-stakes client meetings Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture Build and iterate working AI prototypes quickly Architect scalable, maintainable systems from prototype to production Make sophisticated technical decisions balancing AI innovation, quality, and deployment needs Technical Mentorship & Team Growth Guide engineers through technical delivery, code reviews, and architectural discussions Elevate team capabilities through knowledge sharing, mentoring, and internal workshops Contribute to best practices, reusable components, and solution standards AI Mastery & Innovation Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate

Skills: 5–8+ years building robust, scalable software systems Full-stack development capability across modern technologies Client-facing experience or technical consulting skills AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot