Lead GenAI Cloud Applications Engineer

Bristol-Myers Squibb; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Bristol Myers Squibb is seeking a GenAI lead to design and deliver scalable AI solutions across business domains in a cloud environment. You will guide a team of engineers and data scientists, align architecture with governance practices, and partner with platform and data teams to deploy robust LLM workflows.

The role emphasizes collaboration, innovative problem-solving, and delivering impactful GenAI projects while maintaining security and compliance across enterprise systems.

Qualifications

• 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 (AWS, Azure, Google Cloud) and services, including compute, storage, networking, and security.
• Strong programming skills in 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.

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 with data scientists, MLOps, platform engineers, and product owners to deliver GenAI solutions.
• 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 and compliance in 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 leadership and stakeholders.
• Partner with 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 and automated testing.
• Participate in code reviews, architecture discussions, and agile development processes to ensure high-quality, maintainable code.
• Troubleshoot and resolve issues related to cloud infrastructure, applications, and data pipelines.
• Stay up-to-date with latest cloud technologies and drive innovation.

Skills

Cloud computing

Python

Problem solving

Leadership

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Apache NiFi

AWS Glue

Apache Airflow

API Gateway

CloudFormation

Job description

Bristol Myers Squibb is seeking a GenAI lead to design and deliver scalable AI solutions across business domains in a cloud environment. You will guide a team of engineers and data scientists, align architecture with governance practices, and partner with platform and data teams to deploy robust LLM workflows.

The role emphasizes collaboration, innovative problem-solving, and delivering impactful GenAI projects while maintaining security and compliance across enterprise systems.