Senior Software Engineer - AI/ML
Bristol-Myers Squibb
- Location
- Hyderabad - TS - IN
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 57 approvals (FY2023)
- Posted
- Sep 2, 2026
Skills
About this role
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. The PDS BI&T Analytics and AI Enablement Sr. Software Engineer (AI/ML) role is accountable for developing AI/ML & Gen AI Solutions, you will play a pivotal role in designing, developing, and deploying advanced AI/ML Models & Gen AI solutions in Product Development and Supply – Analytics & AI Enablement organization.
Key Responsibilities
Design, develop, and implement AI/ML models and algorithms to solve complex business problems. Implement Retrieval-Augmented Generation (RAG): Design and develop systems that combine retrieval-based methods with generative models to enhance the accuracy and relevance of AI-generated content. Utilize Vector Embeddings: Develop and optimize vector embeddings for various applications, including semantic search, recommendation systems, and natural language understanding. Design autonomous agent systems performing multi-step tasks beyond simple chatbots. Work on Agentic Design Patterns & any one of the frameworks like Langgraph, Agent SDK, Crew AI etc Create reusable agent node libraries and extensible platform patterns supporting multiple business domains Collaborate with other engineers to understand requirements and deliver high-quality solutions and reusable components. Conduct research and stay up-to-date with the latest advancements in AI and machine learning technologies. Design versioning strategies and testing frameworks for agent workflows (unit, integration, end-to-end) Mentor and guide junior engineers, providing technical leadership and fostering a culture of continuous learning. Participate in code reviews, design discussions, and contribute to best practices for software development. Develop and maintain documentation for AI/ML models, algorithms, and processes. Work with large datasets, perform data preprocessing, feature engineering, and model evaluation. Deploy and monitor AI/ML models in production environments, ensuring reliability and robustness. Experience with natural language processing (NLP), computer vision, or other specialized AI domains. Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Approximately 5-7 years of experience in software engineering with a focus on Agentic AI and AI/ML. Strong proficiency in programming languages such as Python, JS/React. Solid understanding of AIML algorithms, data structures, and software design principles. Experience in implementing and production deployment of at least 2 Agentic AI solutions. Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes). Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Excellent problem-solving skills and the ability to work independently and as part of a team. Experience with version control systems (e.g., Git) and agile development methodologies. Ideal Candidates Would Also Have: Prior experience in global life sciences especially in the PDS functional area will be a plus Experience working internationally with a globally dispersed team including diverse stakeholders and management of offshore technical development team(s) Strong communication and presentation skills Other Qualifications: Bachelor’s/Master’s degree in AI, Data Science, Computer Science, Information Systems, Computer Engineering or equivalent is preferred We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t