Johnson & Johnson

Data and Generative AI Engineer

Johnson & Johnson$79K — $127K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of 4 years of relevant experience in an industry setting.
  • Bachelor's degree in Computer Science, Engineering, Data Science or related STEM field; Master's preferred.
  • Familiarity with large language models and generative AI concepts.
  • Practical experience calling LLM APIs and integrating responses into applications.
  • Hands-on experience building agent workflows or prototypes using an agent framework.
  • Strong Python skills and knowledge of data engineering and cloud technologies.

Responsibilities

  • Design, develop, and maintain software solutions for the Data Technology Team.
  • Collaborate with multi-functional teams to define and ship new features.
  • Implement data ingestion, transformation, and storage processes with tools like Databricks.
  • Ensure data quality and integrity through testing and validation using Intelligent Automation principles.
  • Monitor system performance and troubleshoot issues to ensure optimal operation.
  • Participate in code reviews and contribute to continuous improvement with third-party vendors.
  • Own and lead proof of concepts and minimal viable products.

Benefits

  • Medical, dental, vision, life insurance, and disability coverage.
  • Retirement plan options including a pension and 401(k).
  • Paid time off including vacation, sick time, and holidays.
  • Parental leave and caregiver leave for new parents and family support.
  • Volunteer leave to encourage community involvement.
Full Job Description
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:

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

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

About Johnson & Johnson

Scio Diamond creates single-crystal Type IIa diamonds for the jewelry market and for industrial applications. It employs a patent-protected chemical vapor deposition (CVD) process in a precisely controlled laboratory setting to produce diamonds. It was founded in 2009 and is headquartered in Greenville, South Carolina.

Johnson & Johnson Careers

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At Johnson & Johnson, you will engage in work that matters. Join our community of professionals in health care to drive significant and impactful changes across the globe. Our team at Johnson & Johnson leads with science and heart in sectors from pharmaceuticals to medical devices and consumer health products.

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Learn more about Johnson & Johnson
Size
141,700 employees
Market Cap
$462.7 billion
Industry
Net Income
$14.7 billion
Founded
1886
5 Year Trend
+5.5%
Revenue
$82.5 billion
NASDAQ

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