Data and Generative AI Engineer

Posted 24 Days Ago
2 Locations
In-Office
79K-128K Annually
Mid level
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Design, build, and maintain data pipelines and Generative/Agentic AI solutions. Integrate LLM APIs and agent frameworks, ensure data quality, automate workflows, run proofs-of-concept, monitor systems to meet SLAs, and present insights to senior leaders. Collaborate across functions and enforce compliance and governance for GenAI outputs.
Summary Generated by Built In

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 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.

Other:

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

#JNJTECH

#LI-Hybrid

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.

Required 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

The anticipated base pay range for this position is :

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

Additional Description for Pay Transparency:

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

Skills Required

  • Minimum of 4 years of relevant industry experience
  • Bachelor's degree or equivalent (STEM preferred)
  • Strong Python skills
  • Practical experience calling LLM APIs (OpenAI, Anthropic, or similar) and integrating responses into applications
  • Familiarity with large language models and generative AI concepts (tokenization, prompt-response behavior)
  • Basic understanding of agentic architectures and hands-on experience building simple agent workflows using frameworks (LangChain, LlamaIndex, Haystack or equivalent)
  • Competence in prompt engineering for multi-step tasks and chaining prompts
  • Awareness of agent failure modes (hallucination, loops) and mitigation strategies
  • Knowledge of Big Data, data pipelining, machine learning, and intermediate software development and automation skills
  • Familiarity with Databricks and Lakehouse architecture (Unity Catalog, Delta Lake, Delta Live Tables)
  • Experience with Databricks Asset Bundles and cluster management
  • Familiarity with cloud platforms (AWS and Azure)
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts
  • Experience handling compliance, risk management, and stakeholder commitments in large organizations
  • Ability to work and collaborate with distributed, cross-functional teams
  • Master's degree in relevant field
  • Preferred skills such as Advanced Analytics, Prototyping, Robotic Automation, HCI, Software Development Management, Testing

Johnson & Johnson Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.

  • Healthcare Strength Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
  • Retirement Support Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
  • Parental & Family Support Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.

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The Company
HQ: New Brunswick, NJ
143,612 Employees
Year Founded: 1886

What We Do

Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines

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