15 ott - Assago
Accenture
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
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