Solutions Engineering Lead - Hybrid Cloud/Full Stack

Job Title : Solutions Engineering Lead Location: Morristown, NJ About the Job Ready to push the limits of what’s 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 Sanofi’s transformation into an AI-powered biopharmaceutical company. This is a full-stack engineering role that combines hands-on expertise in cloud, DevOps, 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. * About Sanofi:  We’re an R&D-driven, AI-powered biopharma company committed to improving people’s 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, CloudFormation) for rapid, consistent deployments. Implement cloud-native patterns (microservices, serverless, and event-driven) that support pharmaceutical compliance. AI/ML Infrastructure Deployment: 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. DevOps & Automation Excellence: 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 GitOps practices and automated rollback mechanisms for pharmaceutical production systems. Hybrid Infrastructure Integration: 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 FinOps practices and automated resource management. Lead Strategic Technology Vision 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 Sanofi’s AI transformation roadmap. Architecture Partnership & Governance: 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. Solutions Engineering Practice Development: 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. AIOps & Intelligent Operations Leadership Design and promote AIOps capabilities for infrastructure and DevOps 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 capacity planning, anomaly detection, and self-healing systems. About You Basic Qualifications Bachelor’s degree in computer science, Engineering, Information Technology, or related technical field - required. Master's - preferred. 10+ years of progressive cloud and infrastructure engineering experience - required. AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty Azure certifications: Solutions Architect Expert, DevOps Engineer Expert, AI Engineer Associate Kubernetes certifications: CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer) Additional relevant certifications: Terraform Associate, TOGAF, ITIL, Agile/DevOps Reporting to the Head of Solutions Engineering (Technology Principal) Travel required for digital partner engagement and strategic initiatives. Cloud & Infrastructure Expertise: 10+ years in enterprise infrastructure and cloud engineering roles with increasing technical leadership Deep expertise in AWS and Azure with production-sc