Full Stack AI Engineer, Clinical Engineering & Operations

Bristol Myers Squibb; Princeton (NJ); On-site; USD 94,000 - 114,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Programs

401(k) Plan

Paid Time Off

Job summary

Bristol Myers Squibb is seeking a Manager, Full Stack Engineer to join an AI‑first, agile product team supporting Global Development Operations. You will design, build, and operate AI‑native products with LLMs, agentic workflows, and data‑driven intelligence.

The role requires hands‑on engineering expertise delivering production‑grade GenAI solutions in a regulated environment, embedding AI into core workflows to augment decision‑making and scale impact across GDO.

Qualifications

• Must have a minimum of 5 years of strong experience in software engineering; Pharma/Life Sciences experience is a plus.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.

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.

Skills

Python

React

Java/TypeScript

REST API

AWS

SQL/NoSQL

Generative AI

Communication

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

LangChain

LlamaIndex

Google ADK

Job description

Working with Us

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

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.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview

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

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https //careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include

• Health Coverage Medical, pharmacy, dental, and vision care.
• Wellbeing Support Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life Benefits Include

Paid Time Off

• US Exempt Employees flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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 [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

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

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 you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [e-mail]. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1604348 Full Stack AI Engineer, Clinical Engineering & Operations