Senior Specialist, PDS BI T - AI Engineering Enablement Remote at Bristol Myers Squibb
Bristol Myers Squibb

Senior Specialist, PDS BI T - AI Engineering Enablement

Bristol Myers Squibb Dublin, D, IE
Full-time Posted 2 days ago

Role overview

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Responsibilities

  • check_circle Support the design, development, testing, and deployment of AI and Generative AI solutions using approved enterprise platforms and technologies.
  • check_circle Contribute to the development of AI-powered applications, intelligent workflows, and automation capabilities that improve business processes and decision-making.
  • check_circle Participate in model evaluation, testing, monitoring, and continuous improvement activities to ensure solution quality and reliability.
  • check_circle Support the deployment and operation of AI solutions on AWS cloud services and enterprise AI platforms.
  • check_circle Assist with application integration, API development, data connectivity, and cloud-native service implementation.
  • check_circle Contribute to DevOps and CI/CD practices, infrastructure automation, and operational support activities.
  • check_circle Follow established security, compliance, governance, and engineering standards.
  • check_circle Collaborate with business stakeholders, product owners, engineers, and data professionals to understand requirements and deliver effective AI solutions.
  • check_circle Create and maintain technical documentation, user guides, and reusable artifacts that support AI adoption and platform enablement.
  • check_circle Participate in training sessions, communities of practice, and knowledge-sharing initiatives to promote AI capabilities and best practices across the organization.
  • check_circle Continuously develop technical expertise in artificial intelligence, cloud computing, software engineering, and emerging technologies.
  • check_circle Work effectively in a global, cross-functional team environment.
  • check_circle Contribute to agile delivery processes, including planning, development, testing, and release activities.
  • check_circle Support innovation initiatives and proof-of-concept activities that explore new AI technologies and business opportunities.

Benefits

  • check_circle You will help patients in their fight against serious diseases
  • check_circle You will be part of a company that encourages excellence and innovation, respects diversity, develops leaders and values its employees.
  • check_circle You’ll get a competitive salary and a great benefits package including, but not only, an annual bonus, pension contribution, family health insurance, 27 days of annual leave, access to BMS Cruiserath on-site gym and life assurance

About the company

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Tags & Focus Areas

Fulltime Remote Ai Ai Engineer Generative Ai

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About Bristol Myers Squibb

Apply, adapt, and in some cases create multi-modal foundation models such as large language models (LLMs), diffusion models, and encoder architectures to answer biological domain-specific questions Address real-world biological modeling challenges such as data sparsity, class imbalance, noise, experimental bias, and heterogeneity of effects Thoughtful model evaluation that incorporates appropriate benchmarks, statistical tests, and problem understanding to support technical and business dec...

Industry Fulltime
HQ Princeton, US

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