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AI and Data Engineer

Job in Princeton, Colusa County, California, 95970, USA
Listing for: Bristol-Myers Squibb
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Princeton

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.

Key Responsibilities

AI Development and Tool Creation – Development and implementation of scalable AI solutions to address complex business challenges in finance, HR, law, compliance and learning. Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively. Build and optimize AI agents that can autonomously handle complex tasks, make decisions, and deliver insights in real‑time. Develop, integrate, and continuously improve AI‑powered chatbots and virtual assistants to support employees across various teams.

Focus on augmenting the decision‑making capabilities of leadership teams by providing AI‑powered insights that inform strategic initiatives for BMS.

Collaborate with cross‑functional teams to translate business requirements into technical specifications and solutions. Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Develop standard AI frameworks for streamlined deployment practices. Establish and maintain consistent documentation of AI capabilities.

Stakeholder Management and Communication

Work closely with data & analytics, technology teams and business stakeholders across enabling functions to ensure alignment on AI initiatives and goals. Use data storytelling techniques when presenting to business stakeholders to clearly communicate technical value provided.

Standardization and Best Practices

Help develop standardized capabilities and best practices within the AI development space. Contribute to the standardization of AI deployment methodologies. Ensure adherence to BMS operating policies and drive a culture of analytics and fact‑based decision making. The role could expand over time to include a wider range of applications, including decision intelligence.

Minimum Qualifications

• Minimum of 2 years of hands‑on experience working in AI or ML, data science, data integration, and reporting.
• Minimum of 1 year of hands‑on experience working with LLMs.
• Bachelor’s degree in computer science, information systems, computer engineering, or equivalent.
• Experience with cloud‑based environments (AWS, Azure, Google AI, etc.).
• Proficiency in Python/R and SQL.
• Hands‑on experience with designing and deploying machine learning models using Scikit‑Learn, Tensorflow, PyTorch, etc.
• Experience with Git.
• Excellent communication and presentation skills.
• Proven ability to explain complex analyses and outcomes to both technical and non‑technical stakeholders.
• Ability to work collaboratively with technical peers across locations.

Preferred Qualifications

• Master’s degree in computer science, information systems, computer engineering, data science, or related field.
• Experience with AI applications in a regulated environment, such as health care, biotech, or pharmaceuticals.
Proven track record of development of AI projects from conception to deployment, including stakeholder management and delivering impactful results.
• Familiarity with additional AI frameworks and tools beyond those listed (e.g., Agentic, LLMs, Computer Vision, text‑to‑code, etc.).
• Experience working with Agile methodologies and tools (e.g., JIRA, Confluence) to manage project workflows and sprints.

Compensation Overview

The starting compensation range for this role varies by location. Eligible candidates may also receive incentive cash and stock opportunities in addition to base salary, based on eligibility. Final compensation is determined by demonstrated experience and job‑related knowledge.

Equal Employment Opportunity Statement

Bristol‑Myers Squibb is an equal‑employment‑opportunity employer. We celebrate diversity and inclusion for all employees and are committed to ensuring a respectful, collaborative work environment for all. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, gender identity, disability, or any other protected status under applicable law.

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