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