Digital Engineering Data & AI Engineer

Job Overview

Johnson & Johnson Engineering & Property Services is recruiting for a Digital Engineering Data & AI Engineer located in New Brunswick, New Jersey. An internal pre‑identified candidate has been considered but all applications will be considered. Join our Project Delivery Digital Engineering team and help improve how engineering standards, Building Information Modeling (BIM) data, and IDEA digital workflows are structured, connected, and used across capital projects and connected with facility lifecycle.

• Design and build data solutions: build structured data models that translate engineering standards and requirements into reusable digital assets.
• Apply BIM data models and standards to support analytics, reporting, and workflow integration.
• Support consistent and scalable use of BIM data across projects.
• Enable data‑driven workflows: design and deliver solutions that support the IDEA lifecycle (Ideation, Definition, Execution, Assessment).
• Build automated workflows that validate designs against PD standards and support model‑based decisions.
• Improve quality, consistency, and efficiency across project delivery.
• Develop AI and intelligent applications: design and develop AI‑enabled tools that support engineering workflows, build search and knowledge capabilities that allow teams to find and use standards and BIM data.
• Develop automated workflows that improve productivity and reduce manual effort; build analytics and insights by creating dashboards and reports that turn BIM and engineering data into clear insights.
• Support data‑informed decisions across project delivery and lifecycle performance; use analytics and machine learning to identify risks and improvement opportunities.
• Develop data pipelines and integrations: build and maintain data pipelines that connect BIM platforms (e.g., Revit, FORMA, Building Connected, etc.) with digital engineering tools and structured data sources; ensure data quality, consistency, and alignment with defined BIM standards.
• Collaborate across teams: partner with the BIM Data Model Lead to align solutions with BIM standards and governance; work with project delivery, project controls, engineering, design, and construction safety to define needs and deliver digital solutions; support adoption of digital engineering tools and BIM‑enabled workflows.

Bachelor’s or equivalent degree in Data Science, Computer Science, Engineering, Mathematics, or a related field required.

• 2–4 years of experience delivering data, analytics, or AI solutions.
• Proficiency in Python or R and strong SQL skills.
• Experience building data models, pipelines, dashboards, or applications using structured and unstructured data.
• Strong problem‑solving skills and ability to turn business needs into practical technical solutions.
• Clear communication skills with the ability to explain insights to both technical and non‑technical audiences.

• Experience with Digital Engineering, BIM, or model‑based workflows.
• Familiarity with Project Delivery Standards or structured requirements frameworks.
• Experience with data‑driven workflows.
• Exposure to AI, machine learning, natural language processing, or automation.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with cloud platforms such as AWS, GCP, or Azure, along with big data tools and ML lifecycle concepts including deployment, monitoring, and MLOps fundamentals.
• Familiarity with NLP techniques such as RAG, agentic workflows, and prompt engineering, plus strong written and verbal communication skills.

Other:
English proficiency, both oral and written, is required. Up to 10% travel may be required.

Base pay range: $79,000.00 – $.

• Vacation – 120 hours per calendar year.
• Sick time – 40 hours per calendar year; for employees who reside in the State of Colorado – 48 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 –…