Senior Analyst AI Engineering

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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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

Bachelors degree in Computer Science Data Science Engineering Artificial Intelligence or related disciplines.

24 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.

Required Skills:

Preferred Skills:

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 locations 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.