AI Native Software Engineering Specialist
Pubblicato il 23-09-2026 - Accenture in Italia
Questa posizione è in Accenture
Riassunto dell'opportunità da parte della Joinrs AI: Accenture ricerca un AI Engineer (Agentic/Applied) con esperienza nella progettazione e implementazione di sistemi agentici in produzione. Il candidato ideale possiede almeno un anno di esperienza pratica con soluzioni AI agentiche e competenze in orchestrazione multi-agente, pipeline RAG, integrazione LLM e LLMOps. Offerta: contratto secondo CCNL B1-B3 con RAL da 28.500 a 54.900 EUR, possibilità di lavoro a distanza o in sede e opportunità di crescita in un contesto tecnologico all’avanguardia.
Role Description
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.
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 Responsibilities
- Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routin