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:
Accountable for the build, operation, and continuous improvement of AI‑native applications and platforms, including bespoke solutions and AI‑enabled SaaS, with AI as the default design paradigm.
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.
Build applications on the Salesforce platform.
Design and operate 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 OpenAI, AWS Bedrock, and LangChain.
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
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.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
