Senior Manager, Full Stack Engineering & Operations Regulatory Bi&t

Bristol Myers Squibb

Madison, NJ, US
Base: $135,320 - $163,976; bonus/equity: + incenti...
50% onsite
Full stack engineering
Ai-native product development
Large language models (llm)
This role is accountable for the end-to-end build and run of AI-native technology assets supporting Global Regulatory Sciences, ensuring solutions are reliable, accessible, secure, compliant, and cost-effective

Job Summary

  • This role is accountable for the end-to-end build and run of AI-native technology assets supporting Global Regulatory Sciences, ensuring solutions are reliable, accessible, secure, compliant, and cost-effective.
  • The Senior Manager designs, builds, and operates AI native products where large language models, agentic workflows, and data-driven intelligence are the default paradigm—not an addon.
  • Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Matching Summary

This role is accountable for the end-to-end build and run of AI-native technology assets supporting Global Regulatory Sciences, ensuring solutions are reliable, accessible, secure, compliant, and cost-effective.

Salary

Base: $135,320 - $163,976; Bonus/Equity: Additional incentive cash and stock opportunities may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits

Skills & Requirements

Must-have

  • Full Stack Engineering
  • AI-native product development
  • Large Language Models (LLM)
  • Agentic AI systems
  • Python and React proficiency
  • AWS cloud services
  • CI/CD automation

Nice-to-have

  • Agile product environment
  • Regulatory Affairs technologies
  • Collaborative and pragmatic
  • Innovative mindset
  • Structured SDLC

Key Requirements

  • 6+ years of software engineering experience
  • Bachelor’s degree in Computer Science or related field
  • Hands-on experience with LLM and AI coding
  • Experience with Generative and Agentic AI frameworks
  • Familiarity with Java, TypeScript, and backend frameworks
  • Experience with AWS cloud services
  • Knowledge of Github and source control
  • Strong data engineering and analytics skills
  • Experience working with vendor partners

Work Rights

Not specified

Tailored Resume

Cover Letter