Senior Manager, AI Engineering

Working with Us
Challenging. Meaningful. Life-changing. Those arent 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. Youll 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: Senior Manager AI Engineering lead the design development and deployment of AI/ML-powered platforms within a six-person innovation team operating with a startup mentality inside Global Biometrics & Data Sciences. The role serves as technical architect for the teams AI stack including LLM-assisted clinical programming tools intelligent data exploration platforms and agentic workflow systems driving the transformation from manual SAS-centric processes toward modern AI-augmented open-source workflows. Works cross-functionally with Statistical Programming Data Management Clinical Regulatory and Medical Writing to deliver solutions for clinical studies.

Key Responsibilities:

AI/ML Platform Architecture & Development

• Architect and deploy production-grade AI/ML platforms: clinical intelligence hubs LLM-assisted code generation tools and domain-specific language models from concept through production.

• Design agentic AI systems with tool-use capabilities including MCP server architectures knowledge graphs and RAG pipelines for clinical data contexts.

• Lead fine-tuning of domain-specific LLMs for clinical programming including training data curation evaluation frameworks and deployment.

• Build scalable API services (FastAPI/Flask) and robust data pipelines supporting SDTM and ADaM data structures.

Technical Leadership & Cross-Functional Collaboration

• Define and drive the AI/ML technical roadmap aligning with the broader Programming 2.0 vision for clinical data analysis.

• Establish engineering best practices: contract-first development testing strategies CI/CD pipelines and code review standards.

• Mentor junior developers through code reviews pair programming and architectural design sessions.

• Partner with Statistical Programming teams to integrate AI-assisted workflows for ADaM generation TFL production and submission readiness.

• Lead change management for AI tool adoption: stakeholder engagement training and communication strategies.

Industry Engagement & Open Source

• Represent the organization at industry conferences through presentations and publications.

• Lead open-source contributions and knowledge sharing of AI/ML tools and methodologies with the broader pharmaceutical community.

• Maintain deep awareness of the evolving AI/ML landscape evaluating new models and frameworks for clinical application.

Technical Skills & Competencies Required:

• Expert Python with deep AI/ML experience: LLM frameworks (Claude SDK/LangGraph) model fine-tuning (LoRA/QLoRA/PEFT) inference optimization.

• Production experience with AI infrastructure: vector databases embeddings RAG prompt engineering and LLM evaluation.

• API development (FastAPI/Flask) GitHub-native CI/CD workflows Unix/Linux and containerization (Docker).

• Strong software engineering fundamentals: design patterns testing (unit/integration/e2e) multi-component system architecture.

• Front-end capability (React/Vue/modern JS) for building user-facing interfaces to AI systems.

Strongly Preferred

• Clinical trial data experience CDISC standards (SDTM/ADaM) or pharmaceutical/healthcare industry background.

• Knowledge graph technologies (Neo4j/Graphiti) and experience training or fine-tuning domain-specific language models.

• Track record of open-source contributions or published technical work.

Qualifications:

• Bachelors degree in Computer Science Data Science Statistics Mathematics or related field (Masters preferred).

• Minimum 7 years in software/AI/ML engineering with 3 years focused on AI/ML system design and deployment.

• Pharma experience strongly preferred but not required for exceptional AI engineering candidates.

• Non-traditional backgrounds with demonstrated deep technical expertise are welcomed.

Key Competencies:

Builder Mentality: Thrives in ambiguity ships solutions over plans operates across roles in a small team. Technical Depth: Goes deep on complex problems while maintaining breadth across the AI/ML landscape. Ownership: Drives projects end-to-end without waiting for direction. Communication: Translates AI/ML concepts for diverse audiences.

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If you come across a role that intrigues you but doesnt 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.

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay takes into account characteristics of the job such as required skills where the job is performed the employees work schedule job-related knowledge and experience. The final compensation will be determined based on demonstrated experience and in accordance with pay equity principles and applicable employment laws.

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 . Visit 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.

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