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Senior Analyst – AI Engineering
Johnson & JohnsonSenior Analyst for AI Engineering at Johnson & Johnson responsible for developing AI solutions. Collaborating with cross-functional teams to deliver successful digital transformation initiatives.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining AI and Machine Learning solutions, with a strong focus on Generative AI, LLM, and MLOps practices. Proficient in collaborating with cross-functional teams to ensure data quality, governance, and successful implementation of AI services.
Highest-signal resume keywords
AI EngineeringMachine LearningPython ProgrammingAgile MethodologiesCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solution DevelopmentMachine Learning FrameworksData IntegrationFeature EngineeringModel EvaluationPerformance MonitoringSolution OptimizationData GovernanceMLOps PracticesDevOps Standards
Soft Skills
Problem-SolvingCommunication
Tools & Technologies
AzureAWSGCP
Industry Keywords
Generative AILLMRetrieval-Augmented GenerationData EngineeringAgile Delivery
Tech Stack
Tools & technologiesAWSAzureCloudGoogle 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.