Lead AI Operations Engineer
Pubblicato il 03-10-2026 - Johnson & Johnson in Italia
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. We are recruiting for a Lead AI Operations Engineer based in Milan - Italy ; The AI Operations Engineer is responsible for shaping, designing, implementing, and continuously improving the enterprise capabilities required to operate AI applications and AI agents safely, reliably, transparently, and cost-effectively at scale. The role combines hands‑on AI platform engineering with Site Reliability Engineering, DevSecOps, LLMOps, AgentOps, FinOps, security, and compliance practices.
The AI Operations Engineer builds reusable operational capabilities across observability, runtime controls,
cost management, auditability, incident response, and production support. The role works closely with the Agent Factory, AI Engineering, Data Platforms, Cloud Infrastructure, Cybersecurity, Privacy, Risk, Quality, and Responsible AI stakeholders.
The role does not own the end-to-end lifecycle management of agents or AI products. Agent design, development, functional evaluation, release content, product evolution, and retirement decisions remain with the Agent Factory and the relevant AI product teams. The AI Operations Engineer provides the shared operational platform, telemetry, controls, and guardrails that enable those teams to run AI solutions in production.
AI Observability & Production Reliability
Design and implement end-to-end observability for AI applications and agents, including prompts, responses, model calls, tool calls, retrieval steps, decision paths, latency, failures, token consumptio