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Tier-1 brand and metro location increase competition, but extreme seniority and niche AI-architecture skills limit density.
Deep enterprise AI architecture and ML/cloud expertise required, making cross-industry transferability low.
Explicit 20+ years and mandatory enterprise AI/ML architecture, cloud, and platform skills enforce very strict filtering.
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Provide enterprise-level architectural leadership for designing and scaling AI-native solutions across large, complex problem spaces.
Develop detailed architecture deliverables and design technical infrastructure supporting AI systems (compute, storage, orchestration, integration).
Lead technology evaluation and governance to ensure scalable, secure, operable AI architectures aligned with enterprise standards.
Minimum 20+ years of experience in enterprise architecture and software engineering.
Bachelor’s degree in Computer Science, Engineering or equivalent.
Hands-on experience designing large-scale AI solutions, including GenAI, ML systems, RAG, and agentic architectures.
Experience with data architecture, cloud, distributed systems, CI/CD, observability, and scalable platforms.
Senior technologist with proven influence in driving architecture decisions through technical leadership in AI and enterprise architecture.
Experienced in collaborating across Product, Engineering, Security, Data, and Operations teams within large, complex organizations.
Skilled in balancing technical evaluation (build vs buy), architecture governance, and delivery enablement for scalable AI solutions.