Forward Deployed AI Engineer

Overview

In this role you embed with client teams to deploy and operationalize AI platforms in real enterprises, owning measurable outcomes like time-to-value, reliability, and adoption. You work across the full stack to translate platform capability into business value and scale AI capabilities within client environments. You shape use cases, roadmaps, and governance while building reusable patterns the client can own after you leave. This is a hands-on, execution-focused role at scale in a premier FDE practice.

Responsibilities

• Embed with client engineering and business teams to deploy and operationalize AI platforms inside enterprise environments
• Own production outcomes with business metrics attached, not just delivery milestones
• Move from ambiguous problem to production system through rapid prototyping
• Design and govern AI architectures across identity, data, security, governance, and workflow integration
• Translate technical architecture into business impact for client executives; shape ROI backlogs and adoption strategy
• Build reusable patterns, playbooks, and accelerators for client ownership
• Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client teams
• Codify patterns and delivery learnings to scale across engagements and grow the FDE practice

Key requirements

• Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
• Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production
• Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines
• Experience deploying to production, CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging
• Demonstrated end-to-end delivery ownership in a client-embedded environment
• Proven ability to articulate business value to C-suite stakeholders (CTO, CFO, CISO)
• Experience presenting to and building trust with senior client stakeholders
• Non-linear profiles welcomed; assessment based on deployment experience and outcome ownership

• Stakeholder communication
• Problem-solving mindset
• Leadership and coaching
• Cloud-native architectures
• Agentic AI solutions (agents, orchestration, context engineering, RAG)
• Multi-provider AI pipelines and abstraction layers

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