Forward Deployed Engineer

In this role you will embed with client teams to deploy and operationalize AI platforms at scale, turning pilots into enterprise capabilities. You’ll own time-to-value, reliability, and adoption, shaping AI use cases and roadmaps with measurable business impact. You work across the full stack to deliver production-ready AI, balancing technical delivery with business outcomes. This position offers the chance to tackle hard, real-world AI problems across industries and to help build a scalable, client-owned deployment capability.

• Embed with client engineering and business teams to deploy and scale AI platforms inside enterprise environments
• Own production outcomes end-to-end with business metrics like time-to-value and adoption velocity
• Turn ambiguous problems into production-ready systems via rapid prototyping to production
• Design and govern AI architectures across identity, data, security, governance, platform layer, and workflow integration
• Translate technical architecture into business impact for CTO/CFO/CISO; shape use case roadmaps and ROI backlogs
• Build reusable patterns, playbooks, and accelerators that clients own after delivery
• Lead design workshops, proofs of concept, and architecture walkthroughs with client teams
• Codify patterns and delivery learnings to scale across engagements and grow the FDE practice

• Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
• Experience in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production
• Strong experience with AI platforms (OpenAI, Claude, Vertex AI, and open-source models) including multi-provider pipelines
• Significant experience deploying to production, CI/CD, and infrastructure as code (Terraform, Helm)
• Proven end-to-end delivery ownership in client-embedded environments
• Ability to quantify business value and communicate it to senior stakeholders (CTO, CFO, CISO)
• Experience presenting to senior client stakeholders; non-linear profiles welcome
• Demonstrated deployment ownership across internal or client engagements

• stakeholder management
• clear communication
• cross-functional collaboration
• cloud-native architectures
• agentic AI design
• multi-provider AI pipelines