Data and Generative AI Engineer

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 Intelligent Automation Engineering

Job Category Scientific/Technology

All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Job 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.

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI, and cloud technologies. Design, develop and deliver Generative/Agentic AI solutions that accelerate End-to-End Data Pipeline Engineering activities.

Key Responsibilities

• Design, develop, and maintain software solutions for the Data Technology Team.
• Collaborate with multi-functional teams to define, design, and ship new features.
• Implement data ingestion, transformation, and storage processes using tools equivalent to Databricks.
• Ensure data quality and integrity through meticulous testing and validation, applying Intelligent Automation principles for development, testing and release.
• Monitor system performance and solving issues to ensure optimal operation in line with expected SLAs.
• Participate in code reviews and contribute to continuous improvement initiatives, working with and guiding third party vendors.
• Stay up to date with emerging technologies and industry trends, and applying this to the ecosystem.
• Own and lead proof of concepts and minimal viable products hands-on.
• Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations.
• Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
• Automation of data pipelines and orchestration of workflows.
• Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.
• Partner with multi-functional teams.
• Keep up to date to apply latest technology trends in the areas of data technology and artificial intelligence, including Generative AI.
• Adhere to and leverage procedures and standards as applicable.
• Ensure that all GEN AI output adheres to rules and guidelines defined by legal, Compliance and IT.

Qualifications

• Minimum of 4 years of relevant experience in an industry setting is required.
• Minimum of a Bachelors degree or equivalent experience is required, preferably in Computer Science, Engineering, Data Science, Business Analytics, Science, any STEM field, Engineering or any other quantitative or STEM field. Master’s degree or equivalent experience in a relevant field is preferred.
• Ability to work and collaborate with a distributed team, innovate, and commit to common goals and achievements.
• Familiarity with large language models and generative AI concepts (what LLMs are, tokenization, prompt-response behavior).
• Practical experience calling LLM APIs (OpenAI, Anthropic, or similar) and integrating …