Senior Manager, AI Engineering job opportunity at Bristol Myers Squibb.

Home Jobs In Poland Tag: AI Engineering Senior Manager, AI Engineering position at Bristol Myers Squibb


DatePosted 20 Days Ago bot
Bristol Myers Squibb Senior Manager, AI Engineering
Experience: 7-years
Pattern: full-time
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AI Engineering

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degreeAssociate
loacation Warsaw - PL, Poland
loacation Warsaw - PL....Poland

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 . The 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 team’s 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: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field (Master’s 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.  #LI-HYBRID 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. Compensation Overview: Warsaw - PL: zł264,960 - zł321,072
 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 employee’s 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 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. R1598660 : Senior Manager, AI Engineering

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