Senior Data & Applied AI Engineer

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Raritan New Jersey United States of America

Job Description:

Johnson & Johnson is currently recruiting for a Senior Data & Applied AI Engineer located in North America or LATAM.

At Johnson & Johnson we believe health is everything. For more than 130 years we have worked to make a meaningful difference in the lives of people around the world through science innovation and technology. We foster an inclusive environment where diverse experiences perspectives and ideas drive breakthrough solutions that improve human health.

We are seeking a highly skilled and hands-on Senior Data & Applied AI Engineer with deep expertise in Data and AI Engineering to design build and scale enterprise data products AI solutions and MLOps platforms. The role will lead the development of reliable data pipelines reusable data products AI-enabled services and model operationalization capabilities. The engineer will also apply cloud-native API and full-stack development skills to integrate these capabilities into secure scalable enterprise solutions.

The ideal candidate is a strong technical leader with deep experience in modern data engineering and applied AI complemented by practical expertise in MLOps cloud-native architectures APIs and application development. This individual will establish engineering standards mentor team members and help translate emerging technologies including Generative AI and Agentic AI into governed production-ready enterprise capabilities.

Key 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 that support enterprise reporting advanced analytics and AI use cases.

• Design and implement AI and Generative AI solutions including retrieval orchestration evaluation integration and production operationalization.

• Build and operate MLOps capabilities that support model development deployment monitoring lineage governance and lifecycle management.

• Define data architecture data quality metadata observability security and performance standards for enterprise data and AI platforms.

• Develop cloud-native platform services microservices REST APIs event-driven components and enterprise integrations that expose data and AI capabilities.

• Build fit-for-purpose user experiences and full-stack applications using TypeScript React and comparable technologies where required to operationalize data and AI solutions.

• Create reusable platform components shared libraries templates CLI tools and developer productivity solutions.

• Build and maintain CI/CD pipelines DevOps automation GitOps workflows and infrastructure-as-code solutions.

• Implement secure authentication authorization RBAC auditability secrets management and enterprise security controls.

• Implement observability across data pipelines AI services applications and infrastructure including logging monitoring tracing data-quality monitoring and performance management.

• Collaborate with data scientists product teams architects and business stakeholders to translate business needs into scalable data and AI solutions.

• Lead proofs of concept technical evaluations and innovation initiatives focused on data AI and platform technologies.

• Conduct architecture design and code reviews to ensure quality security scalability maintainability and regulatory readiness.

• Troubleshoot complex distributed systems spanning data platforms AI services applications infrastructure and cloud services.

• Mentor engineers and establish data AI and software engineering standards while remaining hands-on in critical delivery activities.

Required Qualifications

• Bachelors or Masters degree in Computer Science Engineering Information Technology Data Science or a related field.

• 6 years of engineering experience including substantial experience designing and delivering enterprise-scale data AI analytical or cloud platforms.

• Advanced proficiency in Python PySpark SQL and distributed data-processing patterns.

• Hands-on experience with Databricks Azure Data Factory data lake or lakehouse architectures and Azure cloud data services.

• Experience designing batch and streaming data pipelines reusable data products analytical data models and data integration solutions.

• Strong understanding of data quality metadata lineage data contracts schema evolution performance optimization observability security and governance.

• Experience developing or integrating applied AI and Generative AI solutions including LLM-enabled applications.

• Experience operationalizing AI or ML workloads through automated deployment monitoring lifecycle management and governance.

• Strong software engineering fundamentals including modular design automated testing version control APIs algorithms data structures distributed systems and architecture.

• Experience designing cloud-native services and deploying containerized workloads using Docker and Kubernetes preferably Azure Kubernetes Service.

• Experience with Azure cloud-native architecture CI/CD infrastructure automation authentication authorization and enterprise security controls.

• Practical experience developing APIs backend services and fit-for-purpose user interfaces using modern frameworks.

• Strong communication technical leadership stakeholder management customer/vendor mangement collaboration mentoring and problem-solving skills.

• Work with offshore teams and ensure the best practices are adopted during the delivery

• Experience with IT finance managing SOWs and resource planning

• Ability to travel up to 5% including international travel.

Preferred Qualifications

• Advanced Databricks and lakehouse architecture experience.

• Experience with streaming technologies and event-driven data processing.

• Knowledge of Generative AI Retrieval-Augmented Generation (RAG) Agentic AI prompt engineering AI evaluation and LLM application development.

• Experience with MLflow or comparable tools for experiment tracking and model lifecycle management.

• Experience with ZenML or comparable ML platform orchestration frameworks.

• Experience implementing data and AI governance in regulated environments.

• Experience with GitOps deployment practices using ArgoCD or similar.

• Experience with observability platforms such as OpenTelemetry Grafana Prometheus and Azure Monitor.

• Experience with TypeScript React NestJS Vite TypeORM Nx Monorepo NGINX ingress controllers or comparable technologies.

• Familiarity with ERP/SAP platforms and enterprise integration patterns.

• Knowledge of IoT edge computing and industrial data solutions.

What Makes This Role Exciting

• Shape enterprise-scale Data and AI platforms that support healthcare innovation.

Required Skills:

Preferred Skills:

Advanced Analytics Agility Jumps Analytical Reasoning Coaching Critical Thinking Data Engineering Data Governance Data Modeling Data Privacy Standards Data Quality Data Science Hybrid Clouds Motivating People Problem Solving Process Improvements Technologically Savvy

The anticipated base pay range for this position is :

$94000.00 - $151800.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys 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 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 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave 80 hours in a 52-week rolling period10 days

Volunteer Leave 32 hours per calendar year

Military Spouse Time-Off 80 hours per calendar year

For additional general information on Company benefits please go to: - Experience:

Senior IC