Data and Generative AI Engineer
Johnson & Johnson
July 01, 2026
Remote friendly (New Brunswick, NJ)
United States
IT
Responsibilities:
- Design, develop, and maintain software solutions for the Data Technology Team.
- Collaborate cross-functionally to define and ship new features.
- Implement data ingestion, transformation, and storage (tools equivalent to Databricks).
- Ensure data quality/integrity with testing and validation; apply Intelligent Automation for dev/test/release.
- Monitor performance, troubleshoot issues, and meet SLAs.
- Lead proof of concepts and minimal viable products; automate data pipelines and workflow orchestration.
- Present results and insights to senior leaders; use visualization/dashboarding.
- Ensure GEN AI outputs follow legal/Compliance/IT rules.
Qualifications:
- 4+ years relevant industry experience.
- Bachelor’s (or equivalent), preferably STEM/CS/Engineering/Data Science; Master’s preferred.
- LLM/generative AI familiarity; practical experience calling LLM APIs (e.g., OpenAI/Anthropic) and integrating into apps.
- Agentic architecture basics (planners, executors, tool use, memory, feedback loops) and hands-on agent workflows (e.g., LangChain/LlamaIndex/Haystack).
- Prompt engineering for multi-step tasks; understand agent failure modes and mitigation (validation/guardrails).
- Big data/data pipelining, ML, intermediate software development + automation; Python; data modeling/ETL/warehousing.
- Experience with Databricks & Lakehouse (Unity Catalog, Delta Lake, DLT) and cloud (AWS/Azure).
- Strong problem-solving, communication, and collaboration.
Preferred Skills:
- Advanced analytics, analytical reasoning, coaching, innovation, prototyping, robotic automation, testing.
Benefits (as stated): medical/dental/vision; life insurance; disability; 401(k) + pension plan; vacation (120h), sick (40h); holiday pay (13 Floating Holidays); parental leave (480h); plus other specified leave.
Location/Travel:
- Raritan, NJ; up to 10% travel.
- Design, develop, and maintain software solutions for the Data Technology Team.
- Collaborate cross-functionally to define and ship new features.
- Implement data ingestion, transformation, and storage (tools equivalent to Databricks).
- Ensure data quality/integrity with testing and validation; apply Intelligent Automation for dev/test/release.
- Monitor performance, troubleshoot issues, and meet SLAs.
- Lead proof of concepts and minimal viable products; automate data pipelines and workflow orchestration.
- Present results and insights to senior leaders; use visualization/dashboarding.
- Ensure GEN AI outputs follow legal/Compliance/IT rules.
Qualifications:
- 4+ years relevant industry experience.
- Bachelor’s (or equivalent), preferably STEM/CS/Engineering/Data Science; Master’s preferred.
- LLM/generative AI familiarity; practical experience calling LLM APIs (e.g., OpenAI/Anthropic) and integrating into apps.
- Agentic architecture basics (planners, executors, tool use, memory, feedback loops) and hands-on agent workflows (e.g., LangChain/LlamaIndex/Haystack).
- Prompt engineering for multi-step tasks; understand agent failure modes and mitigation (validation/guardrails).
- Big data/data pipelining, ML, intermediate software development + automation; Python; data modeling/ETL/warehousing.
- Experience with Databricks & Lakehouse (Unity Catalog, Delta Lake, DLT) and cloud (AWS/Azure).
- Strong problem-solving, communication, and collaboration.
Preferred Skills:
- Advanced analytics, analytical reasoning, coaching, innovation, prototyping, robotic automation, testing.
Benefits (as stated): medical/dental/vision; life insurance; disability; 401(k) + pension plan; vacation (120h), sick (40h); holiday pay (13 Floating Holidays); parental leave (480h); plus other specified leave.
Location/Travel:
- Raritan, NJ; up to 10% travel.