Data and Generative AI Engineer

Johnson & Johnson Innovative Medicine•New Brunswick, NJ

2d•$79,000 - $127,650•Hybrid

About The Position

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.

Requirements

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.
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 responses into applications.
Basic understanding of agentic architectures: planners, action executors, tool use, memory components, and feedback loops.
Hands-on experience building simple agent workflows or prototypes using an agent framework (e.g., LangChain, LlamaIndex, Haystack) or equivalent libraries.
Competence in prompt engineering for multi-step tasks and chaining prompts to implement simple planning/execution logic.
Awareness of common failure modes for agents (hallucination, looped behavior, unsafe actions) and strategies to mitigate them (validation checks, guardrails).
Knowledge of Big Data, Data Pipelining, Machine Learning, intermediate level of Software Development and Automation skills.
Ability to connect and partner with various team members (multi-functional) to identify their needs and drive adoption of the solutions.
Experience in handling compliance consistency, risk management and stakeholder commitments in large organizations.
Shown experience in software development, with a focus on and data engineering and cloud technologies.
Strong Python skills, with experience and aim to learn LLMs, RAG, Agentic Frameworks, Generative AI Patterns.
Familiarity with Databricks & Lakehouse Architecture — Unity Catalog, Delta Lake, and Delta Live Tables (DLT).
Databricks Asset Bundles & Cluster Management.
Familiarity with cloud platforms, AWS and Azure Cloud.
Strong understanding of data modeling, ETL processes, and data warehousing concepts.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

Nice To Haves

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.

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.

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours