Solutions Engineering Lead - Hybrid Cloud/Full Stack
Listed on 2026-07-26
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IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Systems Engineer
About The Job
Ready to push the limits of whats possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
Job Title
:
Solutions Engineering Lead
Location:
Morristown, NJ
About The Job
Ready to push the limits of whats possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
Join Sanofi as our Lead Solutions Engineer to shape the future of pharmaceutical technology. Reporting to the Head of Solutions Engineering, you will serve as the technical lead for our Solutions Engineering practice and collaborate with Strategic Architecture and digital partners to drive Sanofis transformation into an AI-powered biopharmaceutical company.
This is a full-stack engineering role that combines hands-on expertise in cloud, Dev Ops, containers, and AI infrastructure with strategic vision-setting. You will lead solution design discussions with Digital R&D, Manufacturing, and corporate teams, and establish technical patterns and standards to guide our global technology evolution.
- This is a hybrid role with 3 days a week onsite in Morristown. *
Were an R&D-driven, AI-powered biopharma company committed to improving peoples lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve lives.
Main Responsibilities
Hands-On Technical Implementation
Cloud-Native Architecture & Implementation
- Design and implement hybrid cloud solutions on AWS and Azure for pharmaceutical workloads.
- Architect containerized applications using Kubernetes (EKS/AKS) with enterprise-grade reliability.
- Build Infrastructure as Code (Terraform, Cloud Formation) for rapid, consistent deployments.
- Implement cloud-native patterns (microservices, serverless, and event-driven) that support pharmaceutical compliance.
- Deploy and optimize AI/ML infrastructure supporting drug discovery and manufacturing automation.
- Implement AIOps platforms for intelligent infrastructure monitoring and automated operations.
- Build data pipelines and model serving infrastructure for pharmaceutical AI applications.
- Design GPU-optimized clusters and distributed computing environments for machine learning workloads.
- Implement CI/CD pipelines with automated testing, security scanning, and compliance validation.
- Design observability platforms that provide comprehensive monitoring, logging, and alerting.
- Build self-service automation enabling digital teams to deploy infrastructure safely and rapidly.
- Establish Git Ops practices and automated rollback mechanisms for pharmaceutical production systems.
- Design seamless integrations between on-premises pharmaceutical systems and cloud platforms.
- Build disaster recovery and business continuity solutions meeting pharmaceutical regulatory requirements.
- Optimize hybrid cloud costs through Fin Ops practices and automated resource management.
Digital Partner Solution Design
- Lead technical architecture discussions with Digital R&D, Manufacturing, and Corporate peer organizations.
- Provide consultative guidance on cloud, AI, and infrastructure strategies for critical pharmaceutical initiatives.
- Co-design enterprise solutions that balance innovation speed with GxP compliance requirements.
- Translate business challenges into technical solutions aligned with Sanofis AI transformation roadmap.
- Work closely with Enterprise Architecture on strategic technology initiatives and standards development.
- Provide solution-level architectural decisions in line with enterprise architectural standards.
- Contribute to architectural decision frameworks for cloud, AI, and infrastructure domains.
- Aligning foundational technology capabilities with digital innovation requirements across the organization.
- Define technical patterns, standards, and best practices for the emerging Solutions Engineering team.
- Establish solution design methodologies that balance pharmaceutical compliance with innovation speed.
- Participate in hiring and developing additional Solutions Engineers across specialized domains.
- Create technical documentation, reference architecture, and implementation guides.
- Design and promote AIOps capabilities for infrastructure and Dev Ops automation.
- Oversee implementation of intelligent monitoring, predictive analytics, and automated remediation. Collaborate with the agentic AI core team to integrate AI-powered operations into the pharmaceutical technology stack.
- Drive adoption of ML-powered…
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