Software Engineer - II, AI/ML

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 As a Software Engineer II, AI/ML, you will design, build, and deploy Generative AI and machine learning solutions that power enterprise applications — from intelligent assistants and RAG-based systems to agentic workflow automation — working across the full AI pipeline from data ingestion to production inference. Key Responsibilities Build Generative AI features for enterprise applications, including text generation, summarization, and RAG-based intelligent assistants Design and orchestrate multi-agent AI systems that automate complex workflows and decision-making Design, train, and deploy machine learning models to solve classification, regression, NLP, and other business problems Own AI pipelines end-to-end, from data ingestion through model inference and serving Evaluate and monitor model and agent performance in production, iterating based on results Write clean, scalable, production-ready code and maintain source control and CI/CD workflows Partner with cross-functional teams in an Agile/Scrum environment to ship AI capabilities Desired Experience Generative AI & LLM Applications Experience developing Generative AI solutions using large language models (LLMs) for enterprise use cases such as text generation, summarization, and Retrieval-Augmented Generation (RAG) Experience building intelligent assistants and conversational AI applications powered by LLMs Familiarity with vector databases for RAG retrieval, such as AWS OpenSearch , pgVector , or Databricks AI Search Agentic AI & Orchestration Experience implementing Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipelines Hands-on experience with LangChain and LangGraph for orchestration and agentic workflow development Experience using Pydantic AI for structured data validation and AI model integration Machine Learning Experience designing, building, and deploying machine learning models for classification, regression, NLP, and other AI use cases Hands-on experience with Scikit-learn , NumPy , Pandas , PyTorch , and TensorFlow/Keras AI Pipelines & Evaluation Experience building and maintaining AI pipelines spanning data ingestion, model inference, and serving Familiarity with evaluation and observability tools such as LangSmith , MLflow , or Weights & Biases Familiarity with LLM platforms such as Azure OpenAI , AWS Bedrock , or Google Vertex AI Software Engineering & Tools Experience writing clean, scalable, production-ready code in Python Experience using VS Code or similar IDEs, and leveraging AI coding tools such as GitHub Copilot and Claude Code to accelerate development productivity Experience managing source code, branching strategies, and CI/CD workflows using GitHub Collaboration & Process Experience collaborating with cross-functional teams following Agile/Scrum methodologies Good to Have Experience developing and managing data pipelines, ML workflows, and AI applications on the Databricks platform Experience building or contributing to internal AI-powered web applications using ReactJS Required Qualifications Bachelor's Degree in Computer Science, Mathematics, or a related field, with 3&#43; years of progressively responsible experience in an IT technical role Experience developing and deploying ML solutions using core libraries and frameworks including Scikit-learn , NumPy , Pandas , PyTorch , TensorFlow/Keras Experience working on GenAI and Agentic frameworks such as LangChain , LangGraph , Pydantic AI , LlamaIndex Familiarity with LLM platforms such as Azure OpenAI , AWS Bedrock , Google Vertex AI 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&#64;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/ For roles based in Washington state only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act. 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 <a target="_blank" href="h