Bristol Myers Squibb
Healthcare
SeniorSoftwareEngineer-AIML,Commercialization
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer - AIML, Commercialization at Bristol Myers Squibb. Skills: AIML, Commercialization, Generative AI, Agentic AI. Lead solution design. Own stakeholder engagement”
Industry & Context.
Solution design; Evaluate trade-offs
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Mathematics, or related field, 7+ years of IT technical experience, 2+ years in a senior or lead capacity, Demonstrated experience gathering requirements, Demonstrated experience designing solutions, Demonstrated experience communicating technical concepts to non-technical stakeholders, Experience planning and delivering projects using Agile/Scrum methodologies, Proven ability to create architectural and flow diagrams for complex AI/ML systems, Experience in developing and deploying ML solutions using core libraries and frameworks, Experience working on GenAI & Agentic Frameworks, Familiarity with LLM platforms
Nice to Have
Develop and manage data pipelines on Databricks platform, Build AI-powered web applications using ReactJS and Python
What You'll Do.
Own stakeholder engagement
Drive architectural decisions
Take end-to-end accountability for delivery
Plan AI/ML initiatives
Decompose AI/ML initiatives into user stories
Evaluate solution options
Propose solution options
Articulate trade-offs
Develop Generative AI solutions
Leverage large language models (LLMs)
Implement Agentic AI systems
Use multi-agent frameworks
Automate complex workflows
Automate decision-making pipelines
Design machine learning models
Build machine learning models
Deploy machine learning models
Maintain AI pipelines
Leverage evaluation tools and platforms
production-ready code
Build AI applications
Use frameworks and libraries
Use VS Code or similar IDEs
Leverage AI coding tools
Manage branching strategies
Manage CI/CD workflows
Collaborate with team members
Develop data pipelines
Manage data pipelines
Develop AI applications
Manage AI applications
Build internal AI-powered web applications
How You'll Work.
Team & Collaboration
Agile/Scrum methodologies; Cross-functional teams
Communication Scope
Communicate technical concepts
Process & Methodology
Agile, Scrum
Full Job Description
**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](https://careers.bms.com/working-with-us). **Desired Experience** * Senior AIML Engineer is a technically advanced individual contributor expected to independently lead solution design, own stakeholder engagement, drive architectural decisions, and take end-to-end accountability for delivery. * Plan and decompose AI/ML initiatives into user stories, epics, and sprint-ready tasks using Agile/Scrum methodologies * Evaluate and propose multiple solution options, articulating trade-offs in terms of complexity, cost, scalability, and time-to-value. * Develop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation, summarization, RAG (Retrieval-Augmented Generation), and intelligent assistants * Implement Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipelines * Design, build, and deploy machine learning models for classification, regression, NLP, and other AI use cases * Build and maintain AI pipelines from data ingestion through model inference and serving *
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