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

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