Forward Deployed Engineer
3 days ago
London
Job Title: Forward Deployed Engineer (FDE) – Location: London or Dublin Hybrid Employment type: Contract Department: Solutions Engineering / Customer-Facing AI Deployment Role Overview is seeking a Forward Deployed Engineer (FDE) to work directly with strategic enterprise customers to scope, design, and deploy AI solutions using ’s cutting-edge models. This is a hands-on, full-stack engineering role that spans the entire customer lifecycle: pre-sales discovery, technical scoping, SOW creation, prototyping, production deployment, and post-sales optimization. You will act as a trusted technical advisor, building enterprise-grade AI solutions while helping customers understand the possibilities of technology. Key Responsibilities 🔹 Pre-Sales & Technical Scoping • Partner with Account Executives to identify high-value AI opportunities, • Lead technical discovery sessions to capture business requirements, • Design solution architectures leveraging APIs (GPT, Codex, embeddings), • Create Statements of Work (SOWs), delivery timelines, and technical plans, • Build proof-of-concepts and demos for customer evaluation, • Advise on enterprise AI readiness and integration strategies 🔹 Full-Stack AI Solution Delivery (Post-Sales) • Develop production-ready AI applications end-to-end: o Frontend: React, TypeScript dashboards, web interfaces o Backend: Python, Node.js APIs, orchestration layers o AI integration: LLMs, embeddings, RAG pipelines • Integrate AI solutions into enterprise systems (CRM, ERP, support platforms), • Build data pipelines and vector search systems to support AI functionality, • Ensure scalability, security, and compliance in all deployments, • Troubleshoot, optimise, and maintain production AI systems 🔹 Enterprise Deployment & Customer Success • Lead technical delivery and act as primary engineer during deployment, • Train and mentor client teams on solution usage, • Monitor adoption and provide recommendations for scaling and optimisation, • Identify additional AI use cases to expand customer impact 🔹 Cross-Functional Collaboration • Provide field feedback to Product and Research teams, • Develop reusable frameworks, prototypes, and accelerators, • Collaborate with other FDEs to share best practices across customers Required Skills & Experience Technical • Strong full-stack development skills: o Frontend: React, TypeScript, modern web frameworks o Backend: Python, Node.js, REST/GraphQL APIs • Experience with cloud infrastructure (AWS, Azure, GCP), • Familiarity with data pipelines, vector databases, and RAG systems, • Understanding of scalable distributed system architecture AI / Machine Learning • Hands-on experience with large language models (LLMs), • Knowledge of prompt engineering, embeddings, and AI orchestration, • Experience deploying AI into production environments, • Familiarity with AI system monitoring, evaluation, and optimisation Pre & Post Sales / Enterprise Delivery • Experience in technical pre-sales, solutions engineering, or consulting, • Proven track record defining SOWs and delivery plans, • Experience working with enterprise customers in complex environments, • Ability to translate business requirements into technical AI solutions Key Attributes • Customer-first mindset with strong communication skills, • Commercial awareness and ability to influence enterprise decisions, • High adaptability in ambiguous, fast-paced environments, • Ownership of projects from discovery through production, • Comfortable operating at both strategic and technical levels Typical Use Cases • AI copilots for internal productivity and knowledge work, • Customer service automation and document summarisation, • Workflow automation using LLMs and AI orchestration, • Enterprise AI integrations with CRM, ERP, and internal tools, • Multi-agent or advanced AI systems with RAG pipelines Nice to Have • Experience in SaaS, consulting, or enterprise technology environments, • Knowledge of DevOps, CI/CD, and MLOps practices, • Familiarity with security and compliance requirements in enterprise AI, • Prior experience in AI research or model fine-tuning