Data and Generative AI Engineer

Johnson & Johnson; New Brunswick (NJ); On-site; USD 79,000 - 127,650; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan

Generous vacation and paid time off

Parental leave

Job summary

Johnson & Johnson is hiring a Data and Generative AI Engineer in New Brunswick, NJ. The role requires a strong background in software development, data engineering, and generative AI. The candidate will design and implement innovative AI solutions and oversee data pipelines.

With a minimum of 4 years of experience required and a preference for advanced degrees, this position offers competitive pay between $79,000 - $127,650.

Join a dynamic team committed to cutting-edge technology and meaningful work in healthcare.

Qualifications

• Minimum of 4 years of relevant industry experience.
• Ability to work and collaborate with a distributed team.
• Familiarity with large language models and generative AI concepts.

Responsibilities

• Design, develop, and maintain software solutions.
• Collaborate with teams to define and design new features.
• Monitor system performance and solve issues to ensure optimal operation.
• Automate data pipelines and orchestrate workflows.

Skills

Software development

Data engineering

Generative AI

Cloud technologies

Python

Data modeling

ETL processes

Problem-solving

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Databricks

AWS

Azure

Job description

Data and Generative AI Engineer

Job Sub Function

Intelligent Automation Engineering

Locations

New Brunswick, New Jersey, United States of America; Raritan, New Jersey, United States of America

Job Description

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. The position is located in Raritan, NJ and may require up to 10% travel.

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 solve 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, 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.
• Automate data pipelines and orchestrate 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 generative AI output adheres to rules and guidelines defined by legal, compliance and IT.

Qualifications

• Minimum of 4 years of relevant industry experience.
• Minimum of a bachelor’s degree or equivalent experience, preferably in Computer Science, Engineering, Data Science, Business Analytics, or a STEM field; master’s degree 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 (LLMs, 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.
• Strong Python skills with experience and aspiration to learn LLMs, RAG, agentic frameworks, and generative AI patterns.
• Familiarity with Databricks & lakehouse architecture – Unity Catalog, Delta Lake, Delta Live Tables, Databricks asset bundles, and cluster management.
• Familiarity with cloud platforms, AWS and Azure.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Skills

Advanced Analytics, Analytical Reasoning, Coaching, Computer Programming, Engineering, Human‑Computer Interaction (HCI), Industry Analysis, Innovation, Manufacturing Technologies, Prototyping, Robotic Automation, Software Development Management, Systems Development, Technical Credibility, Technologically Savvy, Testing

EEO Statement

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Pay Range

$79,000 - $127,650

Benefits

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following company‑sponsored employee benefit programs: medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the company’s consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, employees are eligible for the following time‑off benefits: 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. Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits