Lead AI Operations Engineer

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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.Learn more at jnj.com .

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.

We provide an inclusive work environment where each person is considered as an individual.

At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:
Technology Product & Platform Management

Job Sub Function:
Technical Product Management

Job Category:
Scientific/Technology

All Job Posting Locations:
Lisbon, Portugal, Madrid, Spain, Milano, Italy

Job Description:

We are recruiting for a Lead AI Operations Engineer based in Milan - Italy ; Madrid ; Spain or Lisbon ; Portugal

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.

Key Responsibilities

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 consumption, and session context.


* Establish common telemetry and distributed tracing across agent workflows, APIs, data services, vector stores, model endpoints, and external tools.


* Build operational dashboards and alerts covering availability, latency, errors, reliability, quality signals, policy violations, consumption, and service health.


* Define serv...