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Principal AI Engineer (GenAI) - Molecular Discovery jobs in United States
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Bristol Myers Squibb · 1 day ago

Principal AI Engineer (GenAI) - Molecular Discovery

Bristol Myers Squibb is a company dedicated to transforming patients' lives through science. They are seeking a Principal AI Engineer to own the strategy and delivery of large language model-native applications and insight-driven analytics platforms that accelerate molecular invention.
BiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
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H1B Sponsor Likelynote

Responsibilities

Own the strategy and delivery of LLM - native applications, agentic predictive-model workflows, and insight-driven analytics platforms that accelerate large and small-molecule invention
Translate scientific objectives into intuitive software products and robust model-ops practices that help chemists, protein engineers, and data scientists iterate faster, uncover deeper insights, and make better decisions
Using Agentic LLM frameworks, build scientifically grounded conversational analytics, automated reports, and copilot workflows with complex scientific datasets and tools
Deliver full-stack applications, React/Next.js fronts with Python/FastAPI & GraphQL services - that surface models and analytics at scale
Champion predictive-model use-cases across small and large molecule discovery (e.g., property prediction, sequence optimization, generative design)
Familiarity platforms that orchestrate cutting-edge structure- and sequence-prediction toolkits (RDKit, OpenEye, Schrödinger LiveDesign, AlphaFold) for CADD, sequence design and developability assessment
Stand up automated pipelines for data curation, experiment tracking, CI/CD, and governed model release (PyTorch/TensorFlow + MLflow/Kubeflow/SageMaker + GitHub Actions)
Package and deploy predictive applications and model endpoints to cloud-native MLOps or on-prem containers for scalable inference and performant access
Codify reusable templates, inner-source libraries, and design systems that cut feature time-to-value by 40%
Mentor a cross-disciplinary team of full-stack, data and AI engineers; foster better-than-best practices in code quality, documentation, and UX research
Partner with discovery leads, IT operations, and external vendors to align technical backlogs with portfolio milestones and data-quality standards
Influence budgeting and make-vs-buy decisions for AI tooling and platform enhancements

Qualification

Agentic LLM engineeringMolecular Tooling ContextModern MLOpsAdvanced PythonReactCloud-architect certificationInfluence & communicationOpen-source contributionsKubernetesMulti-cloud deploymentMentoringCollaboration

Required

Agentic LLM engineering depth - Demonstrated success building Agentic LLM workflows and LLM-native Applications; fine-tuning and deploying LLMs, diffusion models, or vision transformers for scientific or operational use-cases
Discovery & Molecular Tooling Context - 5+ years with relevant advanced degree building/supporting platforms and tools, for computational compound design and protein engineering workflows (Schrodinger, OpenEye, Alphafold); fluent in SAR analysis, sequence/structure predictions, and assay lifecycles
Modern MLOps - IaC (Terraform/CloudFormation), automated testing, secrets management, continuous model evaluation, lineage tracking
Influence & communication - lead architecture reviews, map tech choices to scientific KPIs, mentor cross-functional teams, and guide roadmap workshops with executives and bench scientists alike

Preferred

Contributions to open-source molecular-design projects
Advanced Python & React; shipped production apps that integrate APIs, scale model inference, and manage complex research datasets
Comfortable packaging and operating applications/models on Kubernetes/EKS, serverless FaaS, or on-prem containers
Knowledge of GPU runtime tuning or Triton-based multi-model serving
Experience crafting cookie-cutter templates or inner-source libraries that accelerate team velocity
Cloud-architect certifications (AWS Pro, Azure Expert, etc.)
Multi-cloud deployment mastery (AWS, Azure, GCP)

Benefits

Health Coverage Medical, pharmacy, dental, and vision care.
Wellbeing Support Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Paid Time Off
US Exempt Employees flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Company

Bristol Myers Squibb

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At Bristol Myers Squibb, we work every day to transform patients’ lives through science.

H1B Sponsorship

Bristol Myers Squibb has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (247)
2024 (278)
2023 (231)
2022 (180)
2021 (181)
2020 (169)

Funding

Current Stage
Public Company
Total Funding
$29.33B
Key Investors
Venrock
2025-11-05Post Ipo Debt· $5.75B
2024-02-14Post Ipo Debt· $13B
2023-10-30Post Ipo Debt· $4.5B

Leadership Team

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Charles Bancroft
CFO
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Cristian Massacesi
Executive Vice President, Chief Medical Officer and Head of Development
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Company data provided by crunchbase