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

We are looking for a passionate Senior Data & AI Engineer to design, build, and scale modern data and AI-powered solutions that enable advanced analytics, reporting, and intelligent business applications. The ideal candidate combines deep expertise in cloud data engineering, Databricks, and AWS with hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and Agentic AI architectures. This role will be responsible for delivering trusted, scalable, and analytics-ready data products while driving innovation through modern engineering practices, AI-assisted development, and cloud-native technologies.

Key Responsibilities

✓Design, develop, and support scalable batch, streaming, and real-time data pipelines.
✓Build and maintain analytics-ready data products, data lakehouse solutions, and curated datasets.
✓Develop ETL/ELT frameworks using Databricks, PySpark, SQL, and AWS data services.
✓Create and optimize data models, data marts, and enterprise data products.
✓Ensure data quality through validation, monitoring, reconciliation, and automated testing.
✓Implement data governance, lineage, security, access controls, and compliance standards.
✓Design and develop APIs, reusable data services, and engineering accelerators.
✓Leverage LLMs and AI-assisted development tools (Claude Code, GitHub Copilot, Microsoft Copilot) to improve engineering productivity and operational efficiency.
✓Build and support RAG pipelines, vector embedding frameworks, semantic search solutions, and AI-powered applications.
✓Develop and deploy AI Agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
✓Implement CI/CD pipelines, GitHub workflows, Infrastructure as Code (IaC), and automated deployment processes.
✓Collaborate with Data Architects, Data Scientists, Analysts, and Product Owners to deliver business-driven solutions.
✓Mentor team members and drive engineering standards, best practices, and innovation initiatives.

Skills & Competencies

✓Expert-level proficiency in Python, PySpark, SQL, and distributed data processing frameworks.
✓Strong expertise in Databricks, including Delta Lake, Unity Catalog, Workflows, and Lakehouse architecture.
✓Deep knowledge of the AWS Data & Analytics ecosystem, including Glue, Lambda, S3, Athena, Redshift, Lake Formation, CloudFormation, and related services.
✓Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and AI Agent development.
✓Experience leveraging AI-assisted engineering tools such as Claude Code, GitHub Copilot, Microsoft Copilot, or similar platforms to accelerate development and operational efficiency.
✓Experience with Agentic AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.
✓Strong expertise in Git, GitHub Actions, CI/CD pipelines, DevOps practices, Infrastructure as Code (IaC), and AWS DevOps automation.
✓Experience designing and developing APIs, microservices, and cloud-native data solutions.
✓Solid understanding of data governance, metadata management, data lineage, security, privacy, and enterprise data platforms.
✓Experience implementing data quality frameworks, monitoring, observability, and operational excellence practices.
✓Exposure to BI and visualization platforms such as Tableau, Power BI, or equivalent tools for downstream analytics consumption.
✓Strong analytical, problem-solving, communication, and stakeholder management capabilities.
✓Proven ability to collaborate effectively with both technical and business stakeholders in a cross-functional, agile environment.
✓Self-driven with an ownership mindset and the ability to thrive in a fast-paced, product-oriented organization.

Qualifications & Experience

✓Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
✓5-8 years of hands-on experience in Data Engineering, Software Engineering, or Cloud Data Platforms.
✓SME-level expertise in Databricks and modern Lakehouse architectures.
✓Proven experience building enterprise-scale data pipelines and data products on AWS and/or Azure.
✓Strong experience with real-time and batch data ingestion frameworks.
✓Experience developing APIs and cloud-native data services.
✓Hands-on experience in one or more of the following areas: AI/ML, Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), Vector Search, and LLM-powered applications.
✓Experience working in Agile, product-oriented environments with end-to-end ownership.
✓Ability to lead complex technical initiatives and mentor engineering teams.
✓Prior experience in Life Sciences, Healthcare, or other regulated industries is a plus.
✓Certifications in AWS, Databricks, Azure, Google Cloud, or related cloud and data technologies are a strong plus.

Good to Have

✓Experience with Vector Databases such as Pinecone or Databricks Vector Search.
✓Knowledge of MLOps, LLMOps, AI Governance, and Responsible AI practices.
✓Experience building enterprise-scale AI Agents and RAG-based solutions.
✓Familiarity with modern AI orchestration and automation frameworks.
✓Experience working with global teams in a product-centric delivery model.

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.

R1605099 : Senior Data & AI Engineer