Full Stack AI Engineer, Clinical Engineering & Operations

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”, a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary:

We are seeking a Manager, Full Stack Engineer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). This role is accountable for designing, building, and operating AI‑native products where large language models, agentic workflows, and data‑driven intelligence are the default approach to solving business problems, not an add‑on.

The ideal candidate brings hands‑on engineering expertise and proven experience delivering production‑grade Generative and Agentic AI solutions in a regulated environment. This individual will help shape how products are designed, developed, delivered, and continuously improved, embedding AI into core workflows to augment decision‑making, automate execution, and scale impact across GDO.

Specific Responsibilities:

Design and maintain LLM‑native and agentic systems as long‑lived products, incorporating human‑in‑the‑loop patterns, continuous learning, monitoring, and governance as part of the standard operating model. Frameworks include Claude, OpenAI, AWS Bedrock, and LangChain.

Partner with product managers and GDO stakeholders to identify opportunities where AI can augment human decision‑making, automate execution, and create step‑change improvements in clinical and operational workflows.

Design, develop, and maintain secure, scalable applications using Python/Java/Node JS/React JS.

Responsible for the support, maintenance, and continuous improvement of a portfolio of SaaS and in-house applications, ensuring high availability, performance, and operational stability.

Partner with business and technology stakeholders to manage application support, incident resolution, enhancements, and lifecycle activities across multiple enterprise platforms.

Incorporate microservices, APIs, MCPs, event-driven processes, and middleware within enterprise systems.

Use critical thinking to investigate issues with systems and data, and identify solutions for short-term remediation and long-term strategy.

Implement CI/CD practices for software applications.

Monitor model performance in production and manage model drift, retraining, and rollback strategies.

Ensure compliance with data governance, privacy, and security standards.

Requirements:

Must have a minimum of 5 years of strong experience in software engineering; Pharma/Life Sciences experience is a plus.

Must have Bachelor’s degree in Computer Science, Software Engineering, or related field.

Should have a demonstrated track record implementing moderately complex technical solutions, developing software applications following SDLC processes in a regulated environment.

Practical experience building Generative AI and Agentic AI applications using tools like LangChain, LlamaIndex, Google ADK, etc.

Strong proficiency in Python and React; Java or TypeScript familiarity.

Solid grasp of REST APIs, MCPs, FastAPI, and JSON/XML and knowledge about TensorFlow or PyTorch.

Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker.

Strong data analytics skills - SQL/NoSQL databases, able to write efficient queries.

Excellent problem-solving and analytical skills.

Must be a relationship builder and capable of working effectively in a highly matrix organization with strong communication, planning, and collaboration skills.

Strong technical expertise, leadership skills, and a passion for delivering high-quality, reliable solutions.

Must possess excellent written and verbal skills and demonstrate an ability to effectively communicate at all levels of the organization.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

Princeton - NJ - US: $94,180 - $114,124 


The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to  adastaffingsupport@bms.com . Visit  careers.bms.com/eeo-accessibility  to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only:  If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:  https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at  https://careers.bms.com/fraud-protection .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at  TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1604348 : Full Stack AI Engineer, Clinical Engineering & Operations