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.
Role Overview
The Senior Software Engineer - AI/ML will design, build, and deploy machine learning and generative AI solutions that support key business priorities, partnering closely with stakeholders to define requirements, shape user stories, and deliver production-ready models and applications.
Key Responsibilities
- Collaborate with IT partners, business teams, and the broader IT matrix organization to support solution design and delivery of new digital capabilities, and contribute to the enablement and simplification of existing ones
- Work with IT partners and business teams to understand requirements and use cases; help align requirement outcomes to support successful delivery of new initiatives and enhancements
- Design and develop Generative AI solutions leveraging LLMs for enterprise use cases including text generation, summarization, Retrieval-Augmented Generation (RAG), and intelligent assistants
- Contribute to Agentic AI systems using multi-agent frameworks to help automate workflows and decision-making pipelines
- Break down AI/ML initiatives into user stories, epics, and sprint-ready tasks using Agile/Scrum methodologies
- Gather requirements, propose solution options, and communicate technical concepts clearly to non-technical stakeholders
- Write clean, scalable, production-ready Python code following software engineering best practices
- Support the design of machine learning systems; research and apply appropriate ML algorithms and tools
- Assist with data processing, access, storage, governance, security, and operations
- Help select appropriate datasets and data representation methods for distributed processing and storage
- Contribute to system architecture and design documentation under the guidance of senior engineers/leads
- Run machine learning tests and experiments; train and retrain models as needed
- Perform statistical analysis and fine-tuning based on test results
- Extend existing ML libraries and frameworks while keeping up with developments in the field
- Contribute to Proof of Concepts (POCs), factoring in user management, security, data privacy, and performance considerations
- Help identify high-value capabilities and opportunities for continuous improvement when evaluating platform choices
Desired Experience
Traditional Machine Learning
- Experience building and deploying production ML models using Scikit-learn, NumPy, and Pandas
- Hands-on experience with TensorFlow/Keras for supervised and unsupervised learning tasks
- Experience with feature engineering, model evaluation, and managing the ML lifecycle (e.g., MLflow)
Generative AI
- Hands-on experience building generative AI applications, including prompt engineering and LLM integration
- Experience with agent orchestration frameworks such as LangChain, LangGraph or Claude Agent SDK
- Familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI
- Working knowledge of vector databases (e.g., pgVector, AWS OpenSearch) for retrieval-augmented generation
- Experience evaluating and monitoring LLM/GenAI application quality using frameworks such as LangSmith
Stakeholder Engagement & Solutioning
- Proven ability to work directly with business stakeholders to gather and define requirements
- Experience translating requirements into clear, actionable user stories
- Ability to evaluate and present multiple solution options with tradeoffs to stakeholders and technical leadership
- Strong communication skills to bridge technical and non-technical audiences
Tools & Collaboration
- Working knowledge of Python and version control (Git)
- Experience working in Agile development environments using tools such as JIRA and Confluence
Agentic AI Development Tools
- Basic understanding of Claude capabilities such as skills, hooks, plugins, subagents, and MCP connectors to build AI solutions
- Ability to use Claude or similar agentic AI coding tools as part of the software development workflow
Good to Have
- Hands-on experience with Databricks, including Databricks MLflow and Databricks AI Search, for ML lifecycle and data workloads
- Experience with cloud ML platforms such as AWS SageMaker
- Exposure to CI/CD tooling (e.g., GitHub Actions, AWS CodePipeline/CodeBuild/CodeDeploy)
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
- 4+ years of experience in machine learning and/or AI engineering roles
- Demonstrated experience with both traditional ML and generative AI techniques
- Strong analytical and problem-solving skills
- Excellent stakeholder communication and cross-functional collaboration skills
- Experience working in Agile/Scrum environments
We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.
How We Work
Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.
Supporting People with Disabilities
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 adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.
R1607488 : Senior Software Engineer - AI/ML
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