Senior Data & Applied AI Engineer for Enterprise Platform

Johnson & Johnson Innovation; Raritan (NJ); On-site; USD 94,000 - 152,000; Full time

Benefits offered by this job

401(k) plan

Paid time off

Parental leave

Volunteer time off

Bereavement leave

Job summary

Johnson & Johnson Innovation is seeking a Senior Data & Applied AI Engineer to design, build, and scale enterprise data products and AI services. The role focuses on data pipelines, MLOps, and cloud-native architectures to deliver secure, scalable enterprise solutions.

The ideal candidate leads technically, mentors engineers, and translates emerging AI tech into production-ready capabilities within a global healthcare context.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, IT, Data Science, or a related field.
• 6+ years of engineering experience delivering enterprise-scale data/AI/cloud platforms.
• Proficiency in Python, PySpark, SQL and distributed data processing.
• Hands-on with Databricks, Azure Data Factory, data lake/lakehouse architectures and Azure services.
• Experience designing batch/streaming data pipelines and data models.
• Strong understanding of data quality, governance, and security.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines using Databricks, PySpark, SQL, Azure Data Factory, and Azure cloud data services.
• Develop reusable, governed data products and analytical datasets for enterprise reporting and AI use cases.
• Design and implement AI/Generative AI solutions, including integration and production operationalization.
• Build and operate MLOps capabilities for model development, deployment, monitoring, and governance.
• Define data architecture, data quality, metadata, observability, security, and performance standards.
• Develop cloud-native platform services, microservices, REST APIs, and enterprise integrations exposing data/AI capabilities.
• Build full-stack UIs using TypeScript, React, Node.js to operationalize data/AI solutions.
• Create reusable platform components, templates, CLI tools, and developer productivity solutions.
• Build and maintain CI/CD, DevOps, GitOps workflows, and infrastructure-as-code.

Skills

Leadership

Communication

Mentoring

Problem solving

Collaboration

Stakeholder management

Education

Bachelor's or Master's degree in Computer Science, Engineering, IT, Data Science, or related field

Tools

Python

PySpark

SQL

Databricks

Azure Data Factory

Azure cloud services

Docker

Kubernetes

Azure Kubernetes Service

APIs

TypeScript

React

Node.js

Job description

Johnson & Johnson Innovation is seeking a Senior Data & Applied AI Engineer to design, build, and scale enterprise data products and AI services. The role focuses on data pipelines, MLOps, and cloud-native architectures to deliver secure, scalable enterprise solutions.

The ideal candidate leads technically, mentors engineers, and translates emerging AI tech into production-ready capabilities within a global healthcare context.