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.
Position Summary:
Key Responsibilities
Lead the design and implementation of Generative AI applications, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestration of LLM workflows across business domains.
Collaborate closely with data scientists, MLOps, platform engineers, and product owners to deliver GenAI solutions aligned to real-world use cases.
Own the technical roadmap, architecture decisions, and delivery of GenAI projects across the enterprise.
Evaluate and integrate with cloud-native AI services (e.g., Amazon Bedrock, Azure OpenAI, Vertex AI) and open-source models.
Champion model observability, governance, and ethical AI practices, ensuring safety, transparency, and compliance in all LLM deployments.
Mentor and guide a team of software engineers and AI practitioners, fostering a culture of continuous learning and innovation.
Drive reusability and scalability by building reusable components, APIs, and internal developer tools for LLM-powered workflows.
Conduct code and design reviews, and lead agile ceremonies to ensure high-quality and timely delivery.
Communicate technical strategies, progress, and risks to both technical and non-technical stakeholders, including leadership.
Partner with other cloud developers, data engineers, AI/ML specialists, and data scientists to design, develop, and implement cloud native solutions.
Collaborate with data engineers and data scientists to build and optimize data pipelines, ETL processes, and machine learning models in the cloud.
Develop and maintain microservices, APIs, and serverless applications.
Ensure the security, reliability, and performance of cloud infrastructure and applications by implementing best practices, monitoring tools, and automated testing.
Participate in code reviews, architecture discussions, and agile development processes to ensure high-quality, maintainable, and scalable code.
Troubleshoot and resolve issues related to cloud infrastructure, applications, and data pipelines.
Continuously research and stay up-to-date with the latest cloud technologies, trends, and best practices to drive innovation and improve existing solutions
Provide technical guidance and mentorship to junior developers and team members.
Document and communicate technical designs, processes, and solutions to both technical and non-technical stakeholders.
Qualifications & Experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 6 years of experience in development, with a focus on cloud computing.
Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and services, including compute, storage, networking, and security.
Strong programming skills in languages such as Python, Java, or Node.js
Experience with AWS services, including EC2, S3, Lambda, RDS, DynamoDB, API Gateway, and CloudFormation.
Knowledge of cloud architecture patterns, best practices, and security principles.
Experience with containerization technologies, such as Docker and Kubernetes, is a plus.
Familiarity with data pipeline and ETL tools, such as Apache NiFi, AWS Glue, or Apache Airflow is a plus.
Experience leading initiatives related to continuous improvement or implementation of new technologies. Works independently on most deliverables
Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.
Ability to manage…