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Specialized AI/platform architect at a known multinational reduces generalist applicant density.
Enterprise AI platform architecture requires specific cloud, AI, and governance expertise, reducing portability.
Multiple mandatory architecture, AI, cloud, and governance requirements imply strict technical filters.
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Design scalable and enterprise-aligned application, integration, and AI platform architectures incorporating AI/GenAI capabilities.
Lead technical solution definition, estimation, risk identification, and provide guidance across small to medium initiatives with cross-functional collaboration.
Ensure compliance with architecture, security, and data standards while integrating API-first, microservices, cloud-native, and AI-driven solutions.
8–10+ years experience in enterprise IT or application architecture roles with AI/GenAI expertise.
Bachelor’s Degree in Computer Science, Engineering, Information Systems, MIS, or related discipline.
Experience with API, microservices, cloud-native architectures, and AI/ML integration into enterprise applications.
Work Experience Required: 8–10+ years in relevant architectural and AI solution delivery roles.
Proven experience in AI/GenAI architecture involving RAG, agents, and enterprise AI services.
Skilled in digital platform architecture, AI-ready data architectures, vector technologies, and modern development platforms (.NET, Java, JavaScript).
Track record of technical leadership in multi-disciplinary teams, governance, and business process transformation through AI and automation.