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: Senior Manager, AI Solution Architect, GPS BI&T
Location: New Brunswick, NJ / Dublin, Ireland

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/ML, data science, data integration, and reporting.
• Bachelor’s degree in computer science, information systems, computer engineering, or equivalent is required.
• 2 years hands-on experience working in the area of Generative AI
• Experience with cloud-based environments (AWS, Azure, Google AI, Hugging face, Domino Data Lab etc.)
• Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc.
• Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena).
• Hands-on expertise in Python, SQL, and AWS AI services.
• Expert with Github.
• Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
• Ability to architect analytic and data science solutions.
• Experience in working in geographically dispersed teams and virtual collaboration.

Experience

• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.
• Exceptional analytical skills with substantial knowledge of AI/ML.
• Exceptional written and verbal communication skills.
• Ability to quickly gain and apply functional area specific knowledge.
• Ability to learn new tools and skills quickly.
• Experience working in the pharmaceutical development, manufacturing or supply chain space.
• 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.

Hybrid

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Architectural Design and Technology Selection

• Lead the design and optimization of scalable AI architectures, ensuring efficient model training, deployment and lifecycle management across multiple environments.
• Lead the evaluation and selection of AI frameworks, tools and cloud technologies to ensure scalable and efficient AI solutions aligned with enterprise architecture standards.
• Support the architecture and implementation of Gen AI models for multiple GPS functions (Global Quality, Product Development, Manufacturing and Supply Chain) to mitigate quality and regulatory risks, improve overall efficiency, accelerate the speed of writing and reviewing records, reduction of lead times and help bring more medicines to more patients faster.
• Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models & GenAI solutions.
• Translating project requirements into strategic architecture solutions. Define the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.
• Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases.
• Develop sustainable, reusable design patterns and best practices that can be leveraged by the enterprise.
• Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
• Provides input and feedback and works proactively to improve and enhance GPS BI&T capabilities.
• Proactively manages planned and ad hoc requests, ensuring consistent quality and timeliness in delivery to business stakeholders.

Collaboration and Stakeholder Engagement

• Define and execute the AI strategy in alignment with business objectives ensuring AI initiatives contribute to long term growth and competitive advantage
• Champion AI innovation and emerging technologies (AI agents, multimodal AI etc…) and assess their applicability to business challenges
• Mentor junior AI professionals, foster upskilling initiatives and drive culture of continuous learning with the team.
• Collaborate with Data scientists, Data product engineers, Machine learning & Gen AI engineers. and business teams to pilot use cases and discuss architectural design.
• Contribute to implementing best practices relating to Software Engineering, DevOps, MLOps, and LLMOps.
• Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.
• Engage a broader community to help educate stakeholders on the practical application of AI to drive business value and widespread adoption.
• Supports a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.
• Understands, demonstrates, and drives adherence to all BMS operating policies. Consistently demonstrates the BMS values while partnering with stakeholders.

The role could expand over time to include a wider range of applications, including in areas such as decision intelligence, and data products engineering.