15 ott - Campania
Accenture
Overview In this role you design, build, and deploy production-grade agentic AI systems across enterprise stacks, working directly with client engineering teams. You'll lead technical design, publish reusable patterns, and ensure scalable, observable AI solutions that run in client environments. You shape the tooling and governance around RAG pipelines, multi-LLM integration, and LLMOps across programs. This is a hands-on position with significant client impact and opportunities to collaborate with leading AI engineering teams. Retribuzione / Benefits * vendor fellowship access inside Anthropic, OpenAI, Microsoft and Google engineering teams * Forward Deployed Engineer programme * broad cross-industry exposure * career development opportunities * global delivery capability * competitive compensation depending on role and seniority Responsabilità * Architect and govern production-grade agentic systems at enterprise scale including multi-agent orchestration, RAG pipelines, memory management, and lifecycle observability * Define RAG pipeline standards: chunking, embeddings,
quality benchmarks, measurable trade-offs * Set multi-LLM integration standards with vendor-agnostic design and cost governance * Own LLMOps at program scale: eval strategy, prompt governance, observability, safety, and cost controls * Lead client engineering engagements at senior level: design sessions, POC delivery, align client leadership with delivery * Shape and publish reusable patterns, accelerators, and standards to scale engagements * Own the measurement framework for agentic system quality: define metrics and present AI impact to senior stakeholders * Demonstrate production software engineering experience and hands-on deployment of agentic AI solutions * Demonstrated experience with agentic orchestration frameworks in production (LangGraph, CrewAI, AutoGen, or equivalent) * Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production and managing latency/cost tradeoffs *
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