Data and Generative AI Engineer

Johnson & Johnson; United States; On-site; USD 79,000 - 127,650; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Pension plan

Paid time off

Job summary

Johnson & Johnson is seeking a Data and Generative AI Engineer to join the Data Technology Team and deliver Generative AI solutions that accelerate end-to-end data pipeline engineering.

You'll design and implement data processing and cloud-based solutions, working with cross-functional teams in an agile environment, and stay current with AI trends to drive data-driven decision making.

Qualifications

• Minimum of 4 years of relevant experience in an industry setting.
• Bachelor's degree or equivalent, preferably in CS/Engineering/Data Science.
• Strong Python skills and cloud technologies.
• Familiarity with LLMs and generative AI concepts.

Responsibilities

• Design, develop, and maintain software solutions for the Data Technology Team.
• Collaborate with cross-functional teams to ship new features.
• Implement data ingestion, transformation, and storage processes.
• Ensure data quality and integrity through testing and validation.

Job description

Company Overview

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.

Job Information

Job Function: Technology Product & Platform Management

Job Sub Function: Intelligent Automation Engineering

Job Category: Scientific/Technology

Locations: New Brunswick, New Jersey, United States; Raritan, New Jersey, United States

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.

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, and apply 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 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.
• Minimum of a Bachelors degree or equivalent experience, preferably in Computer Science, Engineering, Data Science, Business Analytics, STEM, or a quantitative field. Master’s degree or equivalent experience 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 (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 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 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.

Other

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

Compensation

The anticipated base pay range for this position is: $79,000 - $127,650.

Benefits

Employees and eligible dependents may participate in company‑sponsored benefit programs including medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Employees may also participate in the company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees may be eligible for the following time‑off benefits: vacation – 120 hours per calendar year; sick time – 40 hours per calendar year (56 hours for employees in Washington); 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 birth/adoption/foster care; 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 at https://www.careers.jnj.com/employee-benefits.

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 & J&N 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.