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Job summary
Qualifications
7+ years of professional experience designing and implementing enterprise-scale data architectures.
3+ years leading architecture for large-scale platform modernization or technology transformation (GenAI, Agentic AI).
Responsibilities
Serve as the technology architecture leader for Enterprise Data, AI/ML, Generative AI, and Agentic AI.
Apply strong expertise in Kubernetes, containers, and cloud-native architecture including deployment, networking, security, observability, scalability.
Design and guide AI/ML, Generative AI, and Agentic AI solutions with model/tool integration and governance.
Guide architecture across Databricks, Snowflake, data ingestion, storage, analytics, metadata governance.
Embed security-by-design, privacy, observability, resilience, and production-readiness into architecture.
Skills
Enterprise Architecture
Cloud platforms
AI/ML
Education
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field