Artificial Intelligence Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8dzmja

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.Possiede le competenze per ricoprire questo ruolo? Legga i dettagli completi qui sotto e invii la sua candidatura oggi stesso.As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.Key ResponsibilitiesDesign and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing,



tool invocation, memory management, and lifecycle observabilityBuild and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targetsIntegrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency managementImplement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoringEmbed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture xysqume walkthroughsBuild reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start fasterDefine and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business termsCompensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the B1 and B3 National Collective Bargaining Agreement applies, with one of the following pay grades and corresponding gross annual salary range:#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8dzmja