Forward Deployed AI Engineer

Overview

In this role you embed with client engineering and business teams to deploy and operationalize AI platforms inside enterprise environments, owning production outcomes such as time-to-value, reliability, adoption, and scalability with business metrics. You translate platform capabilities into measurable business value, bridging AI pilots and scalable capabilities. You’ll shape use case roadmaps, design reusable patterns, and lead workshops to drive enterprise AI adoption. This position sits at the execution spine of our Reinvention Deployment Engineering pods, tackling the hardest enterprise AI problems across industries.

Responsibilities

• Embed with client teams to deploy, scale, and operationalize AI platforms inside enterprise environments
• Own end-to-end production outcomes with business metrics (time-to-value, reliability, adoption velocity, scalability)
• Prototype rapidly (days) and move to production in weeks
• Design and govern AI architectures across identity, data, security, governance, platform, and workflow layers
• Translate technical architecture into business impact for CTO/CFO/CISO; shape use case roadmaps and AI adoption strategy
• Build reusable patterns, playbooks, and accelerators that remain with the client after you leave
• 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) and open-source models, including multi-provider pipelines
• Experience deploying to production, CI/CD, and infrastructure as code (Terraform, Helm)
• Demonstrated end-to-end delivery ownership in client-embedded environments
• Proven ability to articulate business value and quantify deployment impact for executives (CFO/CISO)
• Experience presenting to senior client stakeholders (CTO, CFO, CISO)
• Non-linear profiles welcomed; assessment based on deployment experience and outcomes

• Articulate business value to executives
• Stakeholder management and trust-building with senior leaders
• Cross-functional collaboration
• Cloud-native architectures (APIs, microservices, containerization, serverless)
• Agentic solutions (agents, orchestration, context engineering, RAG)
• AI platforms (OpenAI, Claude, Vertex AI; multi-provider pipelines)

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