Senior Expert Cloud Data & AI Architect - Healthcare

• Bachelor's degree in computer science, information technology, engineering, or a related field.

• 6+ years of experience in cloud architecture, cloud engineering, or a closely related technical role.

• Hands-on expertise designing solutions on AWS, including identity and access management, storage, compute, serverless, data, and security services.

• Experience with at least one enterprise data platform, such as Snowflake or Palantir Foundry.

• Experience designing and delivering AI/ML or GenAI infrastructure, including data pipelines, deployment, monitoring, and governance.

• Knowledge of data governance, data quality, privacy, security, and regulated-data considerations, including PII/PHI and GxP-relevant contexts.

• Proficiency in Python and SQL, plus infrastructure-as-code tooling such as Terraform or CloudFormation.

• Experience designing or delivering GenAI and agentic AI solutions, including large language model application architecture, retrieval-augmented generation, agent orchestration, tool integration, evaluation, monitoring, and responsible-AI controls.

• Master's or doctoral degree in a related discipline.

• AWS certifications, such as Solutions Architect, Data Analytics, or Machine Learning Specialty.

• Experience with clinical, research, manufacturing, regulatory, commercial, or supply-chain data in a healthcare or life-sciences environment.

• Experience leading architecture governance forums and developing enterprise standards, data lineage, metadata, or integration practices.

• Experience delivering scalable, multi-service data and AI platforms in regulated environments.

• Experience applying agentic workflows to regulated healthcare or life-sciences use cases, with security, privacy, auditability, and human-oversight controls.

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role: As a Senior Cloud Data & AI Architect within the Healthcare Architecture Team, you will design and govern cloud-native architectures that enable scalable data, analytics, AI/GenAI, and agentic AI solutions across the healthcare portfolio. You will partner with Data & AI, Security, Platform, and cross-functional Healthcare teams to define standards, drive reference architectures, and enable governed solutions across AWS, Snowflake, Palantir Foundry, and related technologies. This role combines deep cloud engineering with data, AI/ML, and agentic workflow architecture to accelerate value delivery while ensuring compliance, security, reliability, and responsible AI.

• Design end-to-end cloud architectures on AWS and connected data platforms, including Snowflake and Palantir Foundry.

• Define and govern reusable patterns for data ingestion, storage, processing, analytics, and AI/ML workflows.

• Lead the architecture of AI/ML and GenAI capabilities, including MLOps, model monitoring, and risk controls.

• Embed security, privacy, data governance, resilience, and cost management into solution designs from the start.

• Evaluate platform and integration choices to improve performance, scalability, and total cost of ownership.

• Promote architecture standards and best practices; create reference architectures, design documents, roadmaps, and runbooks; and mentor engineers and architects on automation and infrastructure as code.

• Collaborate with cross-functional Healthcare teams to translate business priorities into scalable, secure, and compliant data and AI solutions.

• Define reusable architecture patterns for agentic AI solutions, including agent orchestration, retrieval-augmented generation, tool integration, human-in-the-loop controls, evaluation, observability, and governance.