# AI Operations Analyst at Johnson & Johnson

Johnson & Johnson is hiring an AI Operations Analyst in Milano, Italy. It pays €41k-€65k a year and Level rates it Little AI ●○○○; you can [apply on Johnson & Johnson](https://jobsbylevel.com/go/8b22e165-951c-4c26-a829-08b9948d2c36?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Milano, Italy.

## Details

- Company: [Johnson & Johnson](https://jobsbylevel.com/companies/johnson-johnson)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Milano, Italy
- Salary: €41k-€65k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/8b22e165-951c-4c26-a829-08b9948d2c36?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=ai-operations-analyst-at-johnson-johnson-502d43

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/ai-operations-analyst-at-johnson-johnson-502d43

## Description

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. 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 - Lafinca, Milano, Italy Job Description: Role Overview The AI Operations Analyst manages day-to-day operational analysis and monitoring for AI applications and AI agents, helping maintain reliable, secure, transparent, and cost-effective services. The role combines hands-on investigation, dashboard and reporting ownership, incident coordination, and continuous improvement of established operational processes. The analyst takes ownership of assigned operational activities across observability, consumption reporting, incident triage, audit evidence, and service readiness. The role works with AI Operations engineers and partner teams to investigate issues, recommend improvements, and implement approved changes within defined access and change-management controls. The analyst also supports solution design by contributing operational insights and practical requirements for monitoring, supportability, and cost visibility. The role does not own the end-to-end lifecycle management of agents or AI products, platform architecture, or final security and compliance approvals. Agent design, development, functional evaluation, release content, product evolution, and retirement decisions remain with the Agent Factory and the relevant AI product teams. The analyst independently delivers routine operational work and coordinates more complex investigations with engineers and accountable control owners. Key Responsibilities AI Observability & Production Monitoring · Own routine monitoring of AI applications and agents, analysing logs, traces, model and tool calls, retrieval steps, latency, failures, and token consumption to identify service issues. · Validate telemetry completeness across agent workflows and supporting services, investigate gaps, and coordinate corrective actions with engineers and platform owners. · Build and maintain operational dashboards and reports covering availability, latency, errors, quality signals, policy alerts, consumption, and service health. · Analyse performance against agreed service-level indicators and objectives, tune operational alert thresholds within approved standards, and recommend improvements to monitoring coverage. · Investigate incidents using logs and traces, develop evidence-based hypotheses, and coordinate next steps while following approved access and sensitive-data handling procedures. · Investigate agent loops, retrieval issues, degraded tool performance, and unexpected runtime behaviour; prioritise findings and escalate complex defects to engineering teams. · Own incident analysis and follow-up for assigned operational issues, contribute to root-cause reviews, and implement agreed preventive actions within the role’s technical authority. LLMOps & AgentOps Support · Maintain configuration, prompt, model, and agent-component version records, and improve the consistency of operational checks across environments. · Execute and improve deployment-readiness checks, investigate failed integration,

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