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Senior, specialized GenAI architect reduces applicant pool, but metro Pune location and generic 'Architect' title attract candidates.
High — role demands deep GenAI, model governance, cloud and enterprise architecture expertise restricting cross-industry transfer.
High — explicit 10+ years, enterprise architecture, cloud, and GenAI experience required.
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Design and oversee end-to-end architecture for a Solution Hub platform incorporating GenAI capabilities ensuring scalability, security, and interoperability.
Translate business objectives into technical blueprints, AI reference architectures, and integration standards including multi-system integration and AI-driven workflows.
Lead technical governance and collaboration for AI pilots, PoCs, and enterprise implementations focusing on performance, cost optimization, and compliance with AI governance and security standards.
10+ years of experience in designing and implementing enterprise-scale technology solutions.
Bachelor’s degree in Computer Science, Engineering, or related field.
Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and cloud-native services.
Experience with enterprise architecture frameworks such as TOGAF or Zachman is preferred but not mandatory.
Experienced in integrating GenAI technologies such as intelligent assistants, RAG, and automation pipelines within scalable enterprise solutions.
Proficient in architectural governance including AI lifecycle management, data lineage, and compliance with responsible AI standards.
Skilled at collaborating across product, engineering, and operations teams to deliver cohesive, future-ready, and cost-effective AI-enabled architectures.