Senior Expert Cloud Data & Ai Architect - Healthcare - Merck

OverviewCompruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible.As Senior Cloud Data & AI Architect, you design and govern cloud-native architectures enabling scalable data, analytics, AI/GenAI, and agentic AI across the healthcare portfolio.You partner with Data & AI, Security, Platform, and cross-functional teams to set standards and reference architectures on AWS, Snowflake, and Palantir Foundry.You lead AI/ML capabilities, including MLOps, model monitoring, and risk controls, with a strong focus on security, governance, and cost management.You translate business priorities into scalable, compliant data and AI solutions and mentor engineers on automation and IaC practices.This role offers impact at scale within a mission-driven healthcare context,ResponsabilidadesDesign end-to-end cloud architectures on AWS and connected data platforms such as Snowflake and Palantir FoundryDefine and govern reusable patterns for data ingestion, storage, processing, analytics, and AI/ML workflowsLead architecture of AI/ML and GenAI capabilities, including MLOps, model monitoring, and risk controlsEmbed security, privacy, data governance, resilience, and cost management into solution designsEvaluate platform and integration choices to improve performance, scalability, and total cost of ownershipPromote architecture standards and best practices; create reference architectures, design documents, roadmaps, and runbooks; mentor engineers on automation and infrastructure as codeCollaborate with cross-functional Healthcare teams to translate business priorities into scalable, secure, and compliant data and AI solutionsDefine reusable architecture patterns for agentic AI solutions, including agent orchestration, retrieval-augmented generation, tool integration, human-in-the-loop controls, evaluation, observability, and governanceRequisitos principalesBachelor’s degree in computer science, information technology, engineering, or a related field6+ years of experience in cloud architecture or a closely related technical roleHands-on experience designing solutions on AWS (IAM, storage, compute, serverless, data, security)Experience with Snowflake xkdbapo or Palantir FoundryExperience designing and delivering AI/ML or GenAI infrastructure (data pipelines, deployment, monitoring, governance)Knowledge of data governance, privacy, security, and regulated-data considerations (PII/PHI, GxP)Proficiency in Python and SQL, plus Terraform or CloudFormationExperience with GenAI and agentic AI, including LLM architecture, RAG, agent orchestration, tool integration, evaluation, monitoring, and responsible-AI controlsCross-functional collaborationMentoring and leadershipStrong communication and stakeholder managementAWS (IAM, storage, compute, serverless, data, security)SnowflakePalantir Foundry

Requisitos principalesBachelor’s degree in computer science, information technology, engineering, or a related field 6+ years of experience in cloud architecture or a closely related technical role Hands-on experience designing solutions on AWS (IAM, storage, compute, serverless, data, security) Experience with Snowflake xkdbapo or Palantir Foundry Experience designing and delivering AI/ML or GenAI infrastructure (data pipelines, deployment, monitoring, governance) Knowledge of data governance, privacy, security, and regulated-data considerations (PII/PHI, GxP) Proficiency in Python and SQL, plus Terraform or CloudFormation Experience with GenAI and agentic AI, including LLM architecture, RAG, agent orchestration, tool integration, evaluation, monitoring, and responsible-AI controls Cross-functional collaboration Mentoring and leadership Strong communication and stakeholder management AWS (IAM, storage, compute, serverless, data, security)