About the role

  • Principal AI Engineer architecting and implementing end-to-end GenAI applications at Bristol Myers Squibb. Fostering innovation and leading engineering practices within AI Engineering and Enablement team.

Responsibilities

  • Architect, design, and build end-to-end GenAI applications.
  • Define solution architectures for leveraging cloud platforms (AWS, Azure, GCP) for scalability, reliability, and security.
  • Present and propose technical solutions that fit requirements.
  • Plan and coordinate project deliveries to ensure timelines and business needs are met.
  • Develop core features and infrastructure; write production-grade code in Python, React, and other languages as needed.
  • Lead implementation of best software engineering practices (modularity, version control, CI/CD, automated testing).
  • Perform code and architecture reviews to ensure robust, maintainable, and high-performing solutions.
  • Drive adoption of engineering best practices across the organization.
  • Set standards for thorough, clear documentation of architectures, processes, and code.
  • Directly manage a engineering team (senior & junior engineers), overseeing hiring, onboarding, and day-to-day activities.
  • Provide technical mentorship; foster a culture of innovation, learning, and inclusiveness.
  • Research, design, and implement Agentic AI solutions using frameworks such as LangChain and LangGraph.
  • Build autonomous genAI agents capable of reasoning, multi-step workflows, and tool-usage.
  • Deploy, monitor, and maintain AI applications using cloud-native infrastructure—containers, CI/CD, and observability tools.

Requirements

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field.
  • 7+ years in software/AI engineering; 3+ years leading technical teams.
  • Proven experience developing and deploying enterprise applications in cloud environments (AWS, Azure, GCP).
  • Advanced skills in Python, React, and familiarity with modern GenAI frameworks (LangChain, LangGraph, etc.).
  • Strong understanding of AI application lifecycle, security, compliance, and performance optimization.
  • Excellent communication, leadership, and project management skills.

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.

Job title

Director, Principal Engineer

Job type

Experience level

Lead

Salary

$193,040 - $257,304 per year

Degree requirement

Bachelor's Degree

Location requirements

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