Forward Deployed Engineer, Enterprise

Role overview Work directly with enterprise customers to turn AI use cases into deployed, production-ready applications. You’ll guide the technical relationship from discovery and solution design through proof of concept, rollout, and ongoing adoption, while helping connect customer needs with product and engineering priorities.

Responsibilities - Learn each customer’s use case, architecture, success measures, and deployment constraints. - Lead technical discovery and solution design during sales and expansion discussions. - Scope and build proofs of concept that demonstrate business and technical value. - Implement production integrations, including retrieval-augmented generation pipelines, agent workflows, internal tools, and tailored generative AI applications. - Work with customer engineering, data, product, and AI teams to move prototypes into production. - Review API usage and recommend ways to improve reliability, latency, coverage, and value. - Share recurring customer needs with internal product and engineering teams, and create reusable architectures, templates, guides, demos, and documentation.

Requirements - Hands-on ability to design and build AI integrations and workflows for customer environments. - Ability to conduct technical discovery, explain solution choices, and work with customer technical teams. - Experience taking proofs of concept toward production deployment. - Ability to communicate customer patterns and technical blockers clearly to product and engineering partners.

Nice to have - Experience with enterprise AI applications in areas such as financial services, legal, consulting, SaaS, sales, marketing, or internal knowledge management. - Experience creating technical playbooks, demos, integration tools, or reusable customer assets. - Background in AI infrastructure, developer tools, or enterprise software.

Benefits and work setup The role is listed for London or remote within Europe.