Software Engineer - Generative AI and Data Engineering

Software Engineer – GenAI & Data Engineering

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 

Join the Bristol Myers Squibb Enterprise Data Engineering and Platform team as an AI / Data Engineer (Mid-Level), where you will design, develop, and operate scalable cloud-native data pipelines and Generative AI solutions that power enterprise search, analytics, and AI-driven insights across R&D and enterprise platforms. 

In this role, you will work with structured and unstructured data (databases, APIs, documents, PDFs, images, and audio) and collaborate closely with data scientists, MLOps engineers, platform teams, and product partners. You will help deliver GenAI-powered capabilities that enhance scientific discovery, improve data accessibility, and enable smarter decision-making in a regulated pharmaceutical environment. 

 

Responsibilities 

• Design, build, and operate scalable data pipelines for structured, semi-structured, and unstructured data sources (databases, APIs, CSVs, documents, images). 

• Develop and deploy Generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), and orchestration of LLM workflows for research and business use cases. 

• Partner with MLOps teams to deploy, fine-tune, and operationalize embedding and transformer models using managed and open-source platforms. 

• Engineer and maintain enterprise search solutions, including index schema design, custom analyzers, and relevance tuning to ensure performance and scalability. 

• Build and support real-time and serverless data services, including streaming and transcription workflows with downstream analytics. 

• Collaborate with cross-functional stakeholders to align technical delivery with research objectives, timelines, and success metrics. 

• Participate in code reviews, design discussions, and agile ceremonies to ensure high-quality, maintainable solutions. 

• Troubleshoot and resolve issues across cloud infrastructure, data pipelines, search platforms, and AI services. 

• Produce clear technical documentation and communicate designs and solutions to both technical and non-technical audiences. 

• Continuously evaluate emerging cloud, data engineering, and GenAI technologies to improve platform capabilities. 

 

Qualifications & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 

• 3-5 years of experience in software or data engineering with a strong focus on cloud-native solutions. 

• Strong programming skills in Python, with working knowledge of PySpark, SQL, and NoSQL databases. 

• Hands-on experience with AWS services, including EC2, S3, Lambda, RDS/DynamoDB, Datazone, SQS/SNS, API Gateway, and AWS Glue. 

• Proven experience building and optimizing ETL / data pipelines at scale. 

• Practical experience with Generative AI frameworks and platforms (e.g., OpenAI, Amazon Bedrock, HuggingFace, LangChain). 

• Familiarity with enterprise search technologies such as OpenSearch, Apache Solr, Coveo, or Sinequa. 

• Experience working with both structured and unstructured data, including documents and media content. 

• Solid understanding of cloud architecture patterns, security principles, and best practices. 

• Strong analytical, problem-solving, and communication skills, with the ability to work independently and collaboratively in cross-functional teams. 

 

Good to Have 

• Experience with Databricks, DevOps, or containerization technologies (Docker, EKS, ECS). 

• Familiarity with MLOps practices, model deployment, and monitoring. 

• Prior exposure to the pharmaceutical or life sciences domain. 

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

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 clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1600704 : Software Engineer – GenAI & Data Engineering

Experience Level

Mid Level