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.
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. Read more: careers.bms.com/working-with-us .

POSITION SUMMARY

The Artificial & Decision Intelligence team within Business Insights and Technology (BI&T) partners with the Bristol Myers Squibb GPS organization to design, develop and operationalize AI/Gen AI, and Decision Intelligence capabilities. We focus on answering key business questions that will drive prioritized business decisions using advanced AI capabilities. The GPS organization at Bristol Myers Squibb supports drug development from discovery through commercialization and distribution to patients. Their scope includes portfolio strategy, manufacturing and supply chain, network strategy, brand analytics, drug substance, drug product, and analytical development for small molecules, biologics, and cell therapy assets.
In support of GPS Strategy, the AI Engineer will be responsible for developing innovative AI solutions aimed at solving real-world GPS problems. As an AI professional, you will be expected to have a keen interest in AI, ML, and staying current with the latest developments in a rapidly changing field. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI applications.

QUALIFICATIONS & EXPERIENCE

Minimum Qualifications

• Minimum of 5 years of hands-on experience working in AI or ML, data science, data integration, and reporting.
• Minimum of 2 years of hands-on experience working with LLMs
• Bachelor’s degree in computer science, information systems, computer engineering, or equivalent is required.
• Experience with cloud-based environments (AWS, Azure, Google AI, etc.).
• 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 (US, EU, India)

Preferred Qualifications

• Master’s degree in computer science, information systems, computer engineering, data science, or a related technical 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.

Experience

• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.
• Exceptional analytical skills with substantial knowledge of AI
• Ability to quickly gain and apply functional area specific knowledge.
• Experience interpreting analytical results and ascertaining implications to the business.
• Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
• Exceptional creative problem-solving skills to answer key business questions.
• Ability to work with diverse teams across organizational lines and structures.

AI Development and Tool Creation

• Lead the development and implementation of scalable AI solutions to address complex pharmaceutical business challenges.
• 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 GPS
• 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

AI Strategy and Enablement

• Develop and execute an AI enablement strategy to empower the teams with the necessary tools, resources, and knowledge to leverage AI for business transformation
• Lead the enablement of AI capabilities within the team, including training, mentoring, and guiding junior engineers, business analysts, and other stakeholders

Stakeholder Management and Communication

• Work closely with data & analytics, technology teams and business stakeholders across GPS 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 in areas such as decision intelligence.