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+ 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 …