Software Engineer II - AIML

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 .

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 pipeline. 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 Leverage evaluation tools and platforms (e.g., LangSmith, MLflow, Weights & Biases, or equivalent) Write clean, scalable, production-ready code in Python Build AI applications using frameworks and libraries including: LangChain and LangGraph for orchestration and agentic workflows, Pydantic AI for structured data validation and AI model integration Use VS Code or similar IDEs and leverage AI coding tools such as GitHub Copilot, Claude Code, and similar assistants to accelerate development productivity Manage source code, branching strategies, and CI/CD workflows using GitHub Collaborate with team members following Agile/Scrum methodologies   Good to have: Develop and manage data pipelines, ML workflows, and AI applications on the Databricks platform Build or contribute to internal AI-powered web applications using ReactJS   Qualification  Bachelor’s Degree in Computer Science, Mathematics or related field with 4+ years of progressively responsible experience in an IT technical role. Experience in developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras etc Experience working on GenAI & Agentic Frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex etc Familiarity with LLM platforms like Azure OpenAI, AWS Bedrock, Google Vertex AI etc 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. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid