Senior Cloud Application Developer - II

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

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 .

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 multiple projects and priorities in a fast‑paced, dynamic environment.

Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinic