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