Understand the workflow
Work with users and the Strategist to understand the real process, data, edge cases and failure costs.
A prototype can look brilliant and still fail in the real world. Our Forward Deployed Engineers work close to client users, data and constraints to turn promising AI workflows into systems people can rely on.
You will pair with an AI Delivery Strategist on client projects. They lead problem framing, alignment and adoption; you lead the technical path from prototype to dependable workflow. Both of you remain accountable for the client outcome. Expect to move between code, APIs, agent behaviour, user conversations and production issues in the same week.
Work with users and the Strategist to understand the real process, data, edge cases and failure costs.
Turn promising ideas into working agents, automations and tools quickly enough to learn from real use.
Build integrations, authentication, observability, error handling and deployment paths that survive beyond a demo.
Test outputs, failure modes, latency and fallbacks so the workflow can be trusted.
Explain trade-offs clearly, observe usage and change the system when reality disagrees with the design.
Document patterns and components that make future client deployments faster and stronger.
You want requirements fully specified before you begin, prefer prototypes to production responsibility, or would rather avoid regular interaction with the people using what you build.
Useful prototypes move into production faster without sacrificing reliability.
Client users trust and use the workflows consistently, with clear support and ownership.
Reusable technical patterns reduce the time and risk of future deployments.
Performance-linked incentives are available based on the outcomes the role owns.
All roles are eligible for performance-linked incentives. The structure depends on the role and the outcomes it owns.
A CV is useful; a concrete example is better. You will not be asked to do unpaid client work.