23 ott - Bardi
Accenture
OverviewAs 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.
ResponsabilitàEmbed 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 fondamentaliCloud-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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