Forward Deployed Engineer Specialist
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Overview
As a Forward Deployed AI Engineer, you drive production-ready AI capability inside client ecosystems. You embed with client teams to translate platform potential into real business value, focusing on time-to-value, adoption, reliability, and scalability. You work across enterprise stacks to deploy and operationalize AI platforms, shaping use-case roadmaps and reusable patterns. This role sits at the intersection of technical execution and strategic impact, offering exposure to high-stakes enterprise AI problems. You will own outcomes and help scale AI across multiple industries.
Responsabilità
- Embed with client engineering and business teams to deploy and operationalize AI platforms inside enterprise environments
- Own production outcomes end-to-end with business metrics (time-to-value, adoption velocity, reliability, scalability)
- Move from ambiguous problem to production-ready system through rapid prototyping to production
- Design and govern AI architectures across identity, data, security, governance, platform layer, and workflow integration
- Translate technical architecture into business impact for CTO/CFO/CISO; shape use-case roadmaps and ROI backlogs
- Build reusable patterns, playbooks, 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)
- Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows)
- Experience with AI platforms—OpenAI, Claude, Vertex AI—and open-source models, including multi-provider pipelines
- Production deployment experience, CI/CD, Infrastructure as Code (Terraform, Helm), monitoring, debugging
- End-to-end delivery ownership in client-embedded environments
- Ability to quantify deployment impact in business terms recognizable by CFOs
- Experience presenting to senior client stakeholders (CTO, CFO, CISO)
- Non-linear profiles welcomed; focus on deployment outcomes over CV patterns
- stakeholder engagement
- business value articulation
- leadership in workshops
- cloud-native architectures
- agentic AI systems (agents, orchestration, RAG)
- multi-provider AI pipelines
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