Lead Solutions Engineer

Lead Solutions Engineer

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

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.

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 people's lives.

Cloud-Native Architecture & Implementation o Design and implement hybrid cloud solutions on AWS and Azure for pharmaceutical workloads. o Architect containerized applications using Kubernetes (EKS/AKS) with enterprise-grade reliability. o Build Infrastructure as Code (Terraform, CloudFormation) for rapid, consistent deployments. o Implement cloud-native patterns (microservices, serverless, and event-driven) that support pharmaceutical compliance. AI/ML Infrastructure Deployment o Deploy and optimize AI/ML infrastructure supporting drug discovery and manufacturing automation. o Implement AIOps platforms for intelligent infrastructure monitoring and automated operations. o Build data pipelines and model serving infrastructure for pharmaceutical AI applications. o Design GPU-optimized clusters and distributed computing environments for machine learning workloads. DevOps & Automation Excellence o Implement CI/CD pipelines with automated testing, security scanning, and compliance validation. o Design observability platforms that provide comprehensive monitoring, logging, and alerting. o Build self-service automation enabling digital teams to deploy infrastructure safely and rapidly. o Establish GitOps practices and automated rollback mechanisms for pharmaceutical production systems. Hybrid Infrastructure Integration o Design seamless integrations between on-premises pharmaceutical systems and cloud platforms. o Build disaster recovery and business continuity solutions meeting pharmaceutical regulatory requirements. o Optimize hybrid cloud costs through FinOps practices and automated resource management.

Digital Partner Solution Design o Lead technical architecture discussions with Digital R&D, Manufacturing, and Corporate peer organizations. o Provide consultative guidance on cloud, AI, and infrastructure strategies for critical pharmaceutical initiatives. o Co-design enterprise solutions that balance innovation speed with GxP compliance requirements. o Translate business challenges into technical solutions aligned with Sanofi's AI transformation roadmap. Architecture Partnership & Governance o Work closely with Enterprise Architecture on strategic technology initiatives and standards development. o Provide solution-level architectural decisions in line with enterprise architectural standards. o Contribute to architectural decision frameworks for cloud, AI, and infrastructure domains. o Aligning foundational technology capabilities with digital innovation requirements across the organization. Solutions Engineering Practice Development o Define technical patterns, standards, and best practices for the emerging Solutions Engineering team. o Establish solution design methodologies that balance pharmaceutical compliance with innovation speed. o Participate in hiring and developing additional Solutions Engineers across specialized domains. o Create technical documentation, reference architecture, and implementation guides. AIOps & Intelligent Operations Leadership o Design and promote AIOps capabilities for infrastructure and DevOps automation. o 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. o Drive adoption of ML-powered capacity planning, anomaly detection, and self-healing systems.

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years in enterprise infrastructure and engineering roles with increasing technical leadership o

with production-scale implementations o

experience, including EKS/AKS in enterprise pharmaceutical or regulated environments. o

integrating on-premises systems with cloud-native applications. o

including networking, storage, compute, and security at enterprise scale.

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with Terraform, CloudFormation, or equivalent tools at scale. o

including automated testing, security scanning, and compliance validation. o

with production Kubernetes implementations and cloud-native patterns o

including monitoring, logging, alerting, and distributed tracing.

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guiding technical decisions across diverse business and technology teams. o

creating technical patterns, and best practices adopted across organizations. o

translating technical concepts for business leaders and non-technical audiences.

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including model serving, training clusters, and data pipelines. o

on AWS (CloudWatch Insights, Systems Manager, DevOps Guru, or equivalent) o

with experience in SageMaker, Azure ML, or similar enterprise ML platforms o

including predictive analytics, anomaly detection, and automated remediation. o

technology implementation with GxP compliance understanding o

(healthcare, financial services, government) with validation experience o

in organizations with 10,000+ users o

and FinOps implementation with measurable cost optimization outcomes o

practices, including error budgets, SLOs, and incident management. o

to cloud-native, Kubernetes, or AI/ML infrastructure projects

o Lead complex technical discussions with confidence and credibility across diverse stakeholder groups. o Challenge technical assumptions constructively while respecting domain expertise. o Balance innovation adoption with operational stability and pharmaceutical compliance. o Make sound architectural decisions in the face of ambiguity and incomplete information.

o Connect technical solutions to pharmaceutical business outcomes and patient impact. o Anticipate future technology trends and proactively prepare infrastructure capabilities. o Design solutions that scale globally across diverse regulatory environments o Balance short-term delivery needs with long-term architectural vision.

o Build trust and credibility with digital peer organizations through consistent delivery. o Navigate matrix organizations and drive consensus without formal authority. o Partner effectively with Enterprise Architecture while maintaining a solutions delivery focus. o Mentor and develop engineering talent through technical guidance and knowledge sharing.

o Articulate complex technical architectures clearly for both technical and business audiences. o Create compelling technical documentation, reference architectures, and implementation guides. o Facilitate productive technical discussions across distributed, global teams.

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in Computer Science, Engineering, Information Technology, or related technical field o Equivalent: 8+ years of Progressive cloud and technology engineering may substitute

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Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty o

Solutions Architect Expert, DevOps Engineer Expert, AI Engineer Associate o

CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer) o

Terraform Associate, TOGAF, ITIL, Agile/DevOps

o Head of Solutions Engineering (Technology Principal)

o Required for digital partner engagement and strategic initiatives (10%)

o You are not joining an established team; you will be one of the first on a team tasked to build out

o Define standards, establish patterns, and create methodologies that will guide Sanofi's technology transformation for years to come.

o Lead solution design with digital peer organizations supporting drug discovery, manufacturing automation, and regulatory compliance. Your technical decisions directly impact pharmaceutical innovation timelines and patient outcomes.

o Work at the intersection of

. Design AIOps platforms that revolutionize how pharmaceutical technology operates while supporting our agentic AI transformation initiatives.

o This role is both hands-on and strategic. Spend 70% of your time building and implementing solutions, and 30% shaping technical vision and guiding digital partner organizations.

o Work directly with Enterprise Architecture on strategic initiatives while maintaining a solutions delivery focus to accelerate pharmaceutical innovation. Connect enterprise standards with practical implementation.

o Bring the miracles of science to life alongside a supportive, future-focused team. o Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. o Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. o Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.