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Tier-1 brand, metro location, and broad senior AI/platform requirements increase competition among qualified candidates.
Specialized enterprise AI architecture and GenAI experience makes cross-industry transferability limited.
Mandatory 20+ years and specific GenAI, ML, data architecture and cloud expertise will filter candidates strictly.
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Provide enterprise-level architectural leadership for designing and scaling AI-native solutions across large, complex problem spaces.
Define and evolve target and reference architectures for enterprise AI solutions including GenAI, ML, and hybrid systems.
Develop architecture deliverables, design infrastructure, lead technology evaluation, and ensure compliance with enterprise architecture standards.
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 with strong knowledge of GenAI, ML systems, RAG, agentic architectures, data architecture, cloud, and distributed systems.
This position requires working onsite five days a week; relocation is available.
Experienced in driving architecture decisions in large enterprises through technical leadership and stakeholder influence.
Skilled in designing scalable, secure, and operable AI platforms and infrastructure with hands-on technical proficiency.
Able to collaborate across product, engineering, security, data, and operations teams to deliver enterprise-wide AI outcomes.