Forward Deployed Engineer
Full-time · Hybrid · UK-based (London preferred, UK-wide considered)
About the Opportunity
We are working with a high-growth enterprise Ai infrastructure company that builds systems designed to run inside customer-controlled environments. Their platform is used by organisations operating in highly regulated, security-sensitive, and mission-critical domains, where accuracy, traceability, and governance are essential.
They are now looking to hire a Forward Deployed Engineer to sit at the intersection of engineering, deployment, and customer delivery. This role is central to ensuring their platform is successfully integrated into complex enterprise environments and brought into production use.
The Role
The Forward Deployed Engineer will be responsible for deploying and operationalising Ai systems within customer environments. This includes end-to-end ownership of technical integration, workflow configuration, production support, and stakeholder engagement.
You will work directly with engineering teams, analysts, compliance functions, and senior stakeholders within enterprise organisations. Many environments will have strict requirements around data handling, security, and governance.
This is a highly hands-on, customer-facing engineering role focused on delivering real-world production systems.
Key Responsibilities
- Work closely with customers to understand data environments, system constraints, and technical requirements
- Translate complex enterprise requirements into production-ready Ai deployments
- Design and implement agent-based Ai systems integrated into customer workflows and infrastructure
- Build APIs, connectors, and data pipelines for secure ingestion and processing of proprietary data
- Deploy LLM-based solutions including RAG architectures, embeddings, and multi-agent systems
- Act as the technical lead across pilots, integrations, and production rollouts
- Troubleshoot and resolve issues in live customer environments
- Collaborate with internal engineering and product teams to surface insights from deployments
- Contribute to reusable deployment frameworks, documentation, and best practices
Candidate Requirements
- 3–7+ years’ experience in software engineering, data engineering, or applied machine learning
- Strong programming skills in Python, TypeScript, or similar languages
- Experience with APIs, cloud platforms (AWS, GCP, or Azure), and data pipelines
- Hands-on experience deploying LLM-based systems, including RAG, embeddings, or vector databases
- Experience working in customer-facing or delivery-oriented technical roles
- Ability to operate independently in ambiguous and fast-moving environments
- Experience working with enterprise, regulated, or sensitive data environments
- Based in the United Kingdom, with willingness to travel to client sites
Desirable Experience
- Exposure to public sector, government, defence, or other regulated environments
- Background in financial services or compliance-heavy industries
- Experience in consulting, systems integration, or solutions engineering roles
- Familiarity with data governance, GDPR, or Ai risk/compliance frameworks
- Experience building document processing or large-scale enterprise data systems
- Prior experience in Ai startups, enterprise SaaS, or technical delivery roles
The Opportunity
This is an opportunity to work on deploying cutting-edge Ai systems into real-world environments where reliability and correctness are critical. The role offers significant exposure to complex enterprise customers and the chance to shape how Ai systems are implemented in production at scale.
You will be joining a highly technical team working at the intersection of Ai infrastructure and enterprise deployment, with strong ownership across customer-facing delivery and technical execution.
