Forward Deployed Engineer Specialist

Overview

A Forward Deployed AI Engineer is a production engineer who works embedded inside a client’s enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes—time‑to‑value, adoption, reliability, and scalability—not mandating delivery milestones.

Responsibilities

• Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms (Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, Palantir) inside enterprise environments.
• Own production outcomes end‑to‑end: time‑to‑value, reliability, adoption velocity, and scalability, with business metrics attached.
• Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production‑ready.
• Design and govern AI architectures across the full enterprise stack—identity, data, security, governance, platform layer, and workflow integration.
• Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use‑case roadmaps, ROI backlogs, and AI adoption strategy.
• Build reusable patterns, playbooks, and accelerators that the client owns after you leave—enabling self‑sustaining deployment.
• Lead design workshops, proofs of concept, architecture walkthroughs, and code‑with sessions with client engineering and leadership teams.
• Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice.

Qualifications

• Demonstrable 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 environments.
• Experience with AI platforms—OpenAI, Claude, Vertex AI, plus open‑source models—building abstraction layers to manage multi‑provider pipelines.
• Extensive experience deploying to production, CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Mandatory end‑to‑end delivery ownership in a client‑embedded environment; internal projects or mandatory mand mandatory mand mandates do not qualify.
• Proven ability to articulate business value and quantify impact of deployments in terms CFOs would recognize.
• Experience presenting to and building trust with senior client stakeholders, CFO, CTO, or CISO level.

Mandatory Mandates

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