Forward Deployed Engineer Specialist

Overview

In this role, you embed with client teams to deploy and operationalize AI platforms at enterprise scale. You own outcomes such as time-to-value, adoption, reliability, and scalability, shaping how AI translates to business value beyond pilots. You’ll work across multiple AI platforms and drive end-to-end delivery in real client environments. This role sits at the execution spine of our deployment engineering pods, tackling hard enterprise AI problems and building patterns for future engagements.

Responsabilità Embed with client engineering and business teams to deploy and scale AI platforms inside enterprise environments

Own production outcomes with business metrics—time-to-value, reliability, adoption velocity, and scalability

Move from ambiguous problem to production system via rapid experimentation (prototype in days, 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 roadmaps and adoption strategy

Build reusable patterns and accelerators that clients own after engagement

Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client teams

Codify patterns and learnings to scale across engagements and contribute to FDE practice growth

Requisiti fondamentali Cloud-native systems experience (APIs, microservices, containerization, serverless)

Expertise in agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production

Experience with AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines

Experience deploying to production with CI/CD, infrastructure as code (Terraform, Helm), monitoring, debugging

End-to-end delivery ownership in a client-embedded environment

Ability to articulate business value and quantify deployment impact for executives

Experience presenting to senior client stakeholders (CTO, CFO, CISO)

Non-linear profiles welcomed; emphasis on deployment outcomes over CV patterns

stakeholder relationship building

communication of business value to leadership

leadership in cross-functional settings

cloud-native architectures

agentic systems and orchestration

multi-provider AI deployment pipelines