Senior Analyst - AI Engineering

• Job title Senior Analyst - AI Engineering
• Function Technology Product & Platform Management
• Sub function Technical Product Management
• Category Experienced Analyst, Technical Product Management (ST5)
• Location Milano / Lisbon / Madrid / Italy / Portugal / Spain
• Date posted Jul 10 2026
• Requisition number R-086852
• Work pattern Hybrid Work

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.

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Job Description:

We are recruiting for a Senior Analyst - AI Engineering based in Milan - Italy ; Madrid ; Spain or Lisbon ; Portugal

Role Overview

The Senior Analyst, AI Engineering is responsible for supporting the design, development, testing, and deployment of AI-powered solutions that support business objectives and digital transformation initiatives. Working as part of a cross-functional Agile squad, the Senior Analyst contributes to the implementation of Machine Learning, Generative AI, Analytics, and AI-enabled solutions under the guidance of senior engineers, architects, and product teams. The role focuses on delivering reliable, scalable, and maintainable AI components while continuously building expertise in modern AI engineering practices, cloud technologies, and enterprise delivery frameworks.

Key Responsibilities

AI Solution Development

· Develop and maintain AI and Machine Learning solutions based on business and technical requirements.

· Participate in the design, testing, and deployment of AI-enabled applications.

· Support the implementation of Generative AI, LLM, and Retrieval-Augmented Generation (RAG) capabilities.

· Participate in model evaluation, performance monitoring, and solution optimization.

Data & Platform Collaboration

· Collaborate with Data Engineers and Software Engineers to access and prepare data required for AI solutions.

· Contribute to data integration and feature engineering activities.

· Support implementation of AI services within approved enterprise platforms.

· Assist in maintaining data quality and data governance requirements.

Agile Delivery

· Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement.

· Deliver committed user stories and technical tasks within sprint commitments.

· Support testing, deployment, and release activities.

· Escalate risks and technical issues when appropriate.

Engineering Excellence

· Follow established AI Engineering, MLOps, and DevOps standards and practices.

· Contribute to documentation, code reviews, and technical knowledge sharing.

· Support monitoring and maintenance activities for deployed AI solutions.

· Apply security, privacy, and responsible AI requirements throughout development activities.

Stakeholder Collaboration

· Work closely with Product Owners, Business Analysts, Architects, and senior engineers while supporting solution implementation activities.

· Support business requirement clarification and technical solution discussions.

· Communicate progress, blockers, and technical findings to project teams.

Continuous Learning & Innovation

· Stay current with emerging AI technologies and engineering practices.

· Participate in technical communities and learning initiatives.

· Identify opportunities for process improvements and support implementation of approved enhancements.

Qualifications

Required

· Bachelor's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related disciplines.

· 2–4 years of experience in AI Engineering, Data Science, Machine Learning, Software Engineering, or related disciplines.

· Experience developing AI or analytics solutions in enterprise environments.

· Familiarity with Machine Learning, Generative AI, LLMs, and AI application development.

· Experience with Python and common AI/ML development frameworks.

· Understanding of cloud platforms such as Azure, AWS, or GCP.

· Basic understanding of Data Engineering concepts, data pipelines, and data preparation.

· Experience working in Agile delivery environments.

· Strong problem-solving and communication skills.

Preferred

· Exposure to MLOps, CI/CD, and AI operationalization practices.

· Knowledge of vector databases, RAG architectures, and AI agent concepts.

· Agile or cloud-related certifications.

· Experience working in regulated industries.

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The anticipated pay range for this position, in the primary posting location, is:

The anticipated pay ranges for additional locations are:

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.