Senior Manager, Full Stack Engineer, Clinical Engineering & Operations

Bristol Myers Squibb • Princeton, NJ

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About The Position

We are seeking a Senior Manager, Full Stack Engineer to serve as a technical leader 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 deep 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. The role combines strong full‑stack engineering capabilities with AI product thinking, technical roadmap ownership, and close partnership with product managers and business stakeholders to deliver measurable outcomes for patients and teams. The role provides cross‑product technical leadership without direct line management, influencing design decisions, shared capabilities, and long‑term technical strategy through expertise, collaboration, and hands-on contribution. This individual remains sufficiently hands-on to design, build, and review critical components, while ensuring consistency, reuse, and quality across products through common patterns, reference architectures, and technical guardrails.

Requirements

• Must have a minimum of 10 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.
• Should have a demonstrated track record implementing complex technical solutions, developing software applications following structured 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, workflow automation tools, 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.
• Demonstrated competency in executing multiple projects simultaneously leveraging Agile methods.
• 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.

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.
• Develop and maintain a strategic AI‑first technology roadmap, guiding build‑vs‑buy decisions, model selection, and platform capabilities in alignment with product vision and business outcomes.
• 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 scalable, stable, reliable, and secure applications using Python/Java/Node JS and modern frontend frameworks like React JS.
• 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.
• Develop and maintain robust ML pipelines for model training, validation, deployment, and monitoring. Automate workflows, including data ingestion, feature engineering, model retraining, and versioning.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level