Forward Deployed Engineer

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