Principal Engineer

About the role

Lead IT project strategies in software architecture & development of digital, data, and AI solutions, leveraging cloud-native, event-driven, and serverless architectures.

Lead teams in implementing & operating secure, scalable, and resilient architectures for automation, observability, and self-service platforms.

Design & implement real-time data, analytics, and AI solutions.

Mentor & train engineers.

Responsibilities

• Design & operate GxP Lakehouses in compliance with 21 CFR Part 11 and EudraLex Annex 11 using AWS Sagemaker Unified Studio, Databricks, and Microsoft Fabric.
• Implement Zero-Trust and Governance-as-Code to automate security controls.
• Use Terraform to automate Installation Qualification and Operational Qualification documentation within CI/CD and/or DevSecOps pipelines and regulatory workloads.
• Design & implement real-time Agentic AI strategies and life sciences business flows for autonomous reasoning and RAG implementations.
• Scale AI-MLOps using SageMaker, EKS, and/or Databricks, including Federated Learning & Explainable AI for clinical validation.
• Manage application of Differential Privacy, Safety & Federated Learning to patient datasets for cross-border AI training.
• Lead application of these technologies within Global Capability Centers.

Requirements

• Master’s degree in C.S., Software Engineering, Electrical Engineering or closely related field.
• 3 years of experience in a consumer health, life sciences and/or pharmaceutical environment.
• Experience with AWS Sagemaker Unified Studio, Databricks, and Microsoft Fabric.
• Experience with Zero-Trust and Governance-as-Code.
• Experience with Terraform.
• Experience with SageMaker, EKS, and/or Databricks.
• Experience with Federated Learning & Explainable AI.
• Experience with Differential Privacy, Safety & Federated Learning.

Qualifications

• Experience with real-time data, analytics, and AI solutions.
• Experience with cloud-native, event-driven, and serverless architectures.
• Experience with automated security controls and compliance with regulations like 21 CFR Part 11 and EudraLex Annex 11.
• Experience with DevSecOps pipelines and regulatory workloads.
• Experience with autonomous reasoning and RAG implementations.
• Experience with Federated Learning & Explainable AI for clinical validation.
• Experience with Differential Privacy, Safety & Federated Learning to patient datasets for cross-border AI training.
• Experience with leading engineering delivery & excellence within Global Capability Centers.

Skills

• Software Architecture
• Data Analytics
• Artificial Intelligence
• Cloud Computing
• DevSecOps
• Zero-Trust Security
• Compliance with Regulations
• Automated Testing
• Project Management

Benefits

• Health Care
• Vision Care
• Dental Care
• Retail Retirement
• PTO
• Sick Leave

Pay

Employees can expect to be paid a salary between $190,000.00 to $225,000.00. Additional compensation may include a bonus or commission (if relevant).

Schedule

Telecommuting permissible from home office location within reasonable commuting distance of St. Louis, MO up to 2 days per week. Up to 20% U.S. and int’l travel req’d.

Contact Us

• Email: careers_us@bayer.com