Senior Analyst – AI Engineering

Johnson & Johnson

Senior Analyst for AI Engineering at Johnson & Johnson responsible for developing AI solutions. Collaborating with cross-functional teams to deliver successful digital transformation initiatives.

Posted 7/11/2026full-timeMilan • 🇮🇹 ItalySenior💰 €39,800 - €64,055 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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.
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.
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.
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.
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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.
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
service anniversary and recognition awards
subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Solution DevelopmentMachine Learning FrameworksData IntegrationFeature EngineeringModel EvaluationPerformance MonitoringSolution OptimizationData GovernanceMLOps PracticesDevOps Standards

Soft Skills

Problem-SolvingCommunication