Senior Expert Cloud Data & AI Architect - Healthcare

Stack

Responsibilities

• ▹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

Requirements

• ▹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

Nice to have

• ▹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

Soft skills

What we offer

• ▹Diverse, inclusive and flexible working culture
• ▹Opportunities for personal development and career advancement across the globe

About the company

Merck works with solutions in Healthcare, Life Science and Electronics. Its Healthcare business develops medicines, intelligent devices and innovative technologies in areas such as oncology, neurology and fertility, with teams across six continents.