Senior Software Engineer

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 .

Senior Software Engineer Key Responsibilities Collaborate with stakeholders to understand business and technical requirements, analyze workflows, and design end-to-end AI/ML pipelines using data science methodologies and prompt engineering. Lead design, development, deployment, and maintenance of scalable software applications and machine learning solutions. Build software engineering applications and data science models, ensuring that ML models, LLMs are efficiently integrated into production systems and maintained at scale. Build and integrate backend services and APIs (Python/FastAPI/Lambda/ECS/EC2) to connect AI components with enterprise systems, enabling secure, scalable, and cloud-native architectures on AWS. Troubleshoot, optimize, and maintain GenAI and backend systems, including monitoring model performance, improving accuracy, enhancing service reliability, and ensuring smooth production operations. Work cross-functionally with product, engineering, and domain teams to identify opportunities for process improvements and to extend AI/ML and GenAI capabilities to new use cases. Develop and maintain technical documentation, including architecture details, model configurations, service interfaces, and operational best practices. Stay up-to-date with advancements in AI, LLMs, Data Science, backend engineering, and AWS cloud technologies, acting as a catalyst for innovation and driving the adoption of modern AI-driven practices across the organization. Strong data analytical skills, SQL, NOSQL databases. Mentor and coach junior members in the team. Qualifications & Experience 7+ years of experience in software development, AI/ML solution design, backend engineering, or automation, with hands-on expertise in building scalable systems and AI-driven workflows. Strong proficiency in Python (preferred) and experience with one or more programming languages such as R Programming, along with solid understanding of software engineering best practices. Experience working with Generative AI and LLM-based technologies (e.g., OpenAI, Gemini) Hands-on experience with cloud platforms, especially AWS (Lambda, API Gateway, S3, Step Functions, SageMaker, etc.), and strong knowledge of API integration, RESTful services, and microservice architectures. Practical experience in data science or machine learning workflows, including data preparation, model integration, and performance evaluation. Functional knowledge of the Life Sciences Research & Development domain Familiarity with Agile methodologies, DevOps concepts, CI/CD practices, and collaborative development environments. Strong problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex backend, integration, or AI model issues. Excellent analytical and decision-making abilities, with a strong focus on delivering high-quality, reliable, and scalable solutions. Effective interpersonal, communication, and presentation skills, with the ability to work across cross-functional teams and articulate technical concepts clearly to diverse