Senior AI/ML Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com.

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 Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Employer:       Johnson & Johnson Services, Inc.

Job Title:         Senior AI/ML Engineer

Job Code:        A011.10000

Job Location: Titusville, NJ

Job Type:        Full-Time

Rate of Pay:     $155,000 - $175,000

Job Duties: Shape and develop AI/ML and other Data Science initiatives across J&J Innovative Medicine. Serve as subject matter expert in ML Engineering with a focus on end-to-end product engineering. Help shape the software development lifecycle of data science products including but not limited to coding best practices, technical back-end support, CI/CD frameworks, and model monitoring. Create end-to-end AI/ML pipelines that integrate seamlessly into products through the product lifecycle, starting from proof-of-concept (POC) phase, moving into production, scaling, ongoing enhancements, and maintenance (ML Operations). Partner with senior leaders and peers across technology and business functions to shape new AI and ML solutions and operations. Partner closely with cross-functional technical teams to ensure strong delivery. Play a key role in the AI-enabled transformation of Commercial engagement through personal and non-personal channels, and other high visibility projects that drive impact for patients and for J&J Innovative Medicine. Coordinate technical seminars, training sessions, and workshops focused on AI/ML to enhance the skills of data scientists, data engineers, and other technology professionals across the organization. Design and build predictive ML models that identify and prioritize patients and healthcare providers most relevant to specific medicines, brands, and therapeutic areas, in order to predict clinically and commercially significant outcomes such as patient-identification and therapy-tolerance model products. Design and build Agentic AI systems built on large and small language models (LLMs and SLMs) that autonomously carry out multi-step commercial-engagement and analytics workflows, together with engineering platforms required to operate, evaluate, and measure those systems reliably and in compliance with healthcare-data regulations. Partner with engineering and infrastructure leaders, external data-science and platform-engineering vendor teams, and commercial business stakeholders to define what each system must do and how its quality and business value are measured. Shape and develop AI/ML and data science initiatives including individual modeling programs (such as the hematology/oncology patient-identification and therapy-tolerance modeling programs) and enterprise AI-platform initiatives (such as the agent-evaluation framework, the conversational-analytics platform, and the Agent observability platform), spanning the full range from early problem framing and architecture through hands-on implementation and production deployment. Design and build the core models, pipelines, frameworks, and agent tools; define their technical architecture and data schemas; write and integrate production code; and establish the engineering standards for the team. Design, build, and validate the core components of end-to-end AI/ML product pipelines, including for model development, agent evaluation, conversational analytics, and agentic data pipelines. Define SDLC coding and architecture standards; establish code-review and pull-request workflows and integration standards; define CI/CD and con…