Forward Deployed Engineer, Enterprise

Responsibilities

Our talent team is representing a confidential AI infrastructure organization in their search for a Forward Deployed Engineer, Enterprise based in London. In this role, you will work directly with the client's largest and most strategic customers to design, prototype, and deploy production-grade AI systems. You'll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications.

Your responsibilities will include:

• Working directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements
• Leading technical discovery and solution design during pre-sales and expansion conversations
• Scoping, building, and delivering proofs of concept that demonstrate clear business and technical value
• Designing and implementing production-ready integrations including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications
• Partnering with customer engineering, data, product, and AI teams to move use cases from prototype to production
• Monitoring customer API usage patterns and recommending improvements to increase reliability, latency, coverage, and overall value
• Translating recurring customer needs, blockers, and technical patterns into clear product and roadmap input
• Creating reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation
• Representing the client in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews
• Partnering closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts

What We're Looking For

Required qualifications:

• 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant
• Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development
• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks
• Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout
• Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems
• Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers
• High autonomy, strong ownership, and comfort operating in a fast-moving startup environment
• Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations
• Based in London or willing to relocate

Preferred qualifications:

• Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI
• Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems
• Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management
• Track record helping large customers move from POC to production
• Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets
• Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company

How We Work With You

Candidates apply directly through Get A Job.ai. One of our experienced recruiters will screen your application and conduct an initial conversation to understand your background and career goals. If there's a strong match, we will submit your profile to our client for consideration. Please note that you should not contact the client directly—we manage the entire interview process and will keep you informed at every stage.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity. We encourage applications from candidates of all backgrounds.