Forward Deployed Engineer Location: Remote – Must be UK based Type: Full-Time Salery: £60,000-£166,000 depending on experience Industry: AI / Enterprise GenAI / Agentic Systems Are you building production-grade GenAI systems — not just demos? We’re partnering with a cutting-edge AI organisation delivering transformative, agentic AI solutions to enterprise clients. They are looking for a Senior GenAI Solutions Engineer to embed with customers, lead deployments, and build bespoke AI systems that drive measurable business impact. This is a high-ownership, customer-facing role at the intersection of AI engineering, cloud deployment, and strategic solution delivery. What You’ll Be Doing * Design and deploy enterprise-grade RAG and multi-agent systems * Build transformative agentic AI solutions using tools such as LangChain and LangGraph * Lead technical delivery from prototype to stable production release * Deploy ML systems across AWS, Azure, or GCP environments * Embed within client teams to co-develop AI solutions aligned to KPIs * Conduct technical debugging and root cause analysis * Rapidly prototype innovative AI systems in ambiguous environments * Drive adoption and demonstrate measurable business outcomes * Implement best practices across AI engineering, DevOps, and MLOps What We’re Looking For * Proven experience building GenAI applications (RAG, multi-agent systems, fine-tuning) * Strong understanding of Model Context Protocols, A2A Protocols, Agent Developer Kits, and LLM orchestration and evaluation * Experience deploying production-grade ML/GenAI systems in cloud environments (AWS, Azure, or GCP) * Strong hands-on data science expertise (pandas, scikit-learn, PyTorch, etc.) * DevOps and infrastructure experience including Docker, Kubernetes, Terraform, CI/CD pipelines (GitHub Actions, Jenkins, CircleCI), and GitOps workflows * Full-stack engineering capability (Python, JavaScript or similar stacks) * Experience in customer-facing technical roles (5 years) * Ability to communicate complex AI concepts to both technical and non-technical audiences * Strong risk awareness and proactive problem-solving mindset Ideal Profile * Have scoped and delivered complex systems in fast-moving, ambiguous environments * Understand how AI model behaviour impacts product experience * Can move seamlessly between engineering teams and executive stakeholders * Take ownership of delivery and outcomes — not just code Education Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or equivalent practical experience. Why Join? * Work on truly transformative AI deployments * High autonomy and ownership * Fully Remote working options * Direct client impact with measurable KPI outcomes * Opportunity to shape next-generation agentic AI systems * Fast-growing, innovation-driven environment First round interviews are being arranged, please send in your CV for a confidential discission