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Tier-1 employer and Bengaluru metro raise applicant density despite niche AI/platform specialization.
Requires deep enterprise AI/ML platform, MLOps, and regulated-industry experience, limiting cross-industry transferability.
Explicit 7+ years plus specialized AI, architecture, governance, and vendor management requirements increase strictness.
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Advise leadership on developing and influencing complex technology solutions across multiple enterprise domains including AI and database technology.
Lead strategy and resolve unique, large-scale technical challenges involving AI platforms, enterprise databases, and cloud-native architectures with long-term impact.
Provide vision, design governance, and oversee adoption of innovative AI/ML and database engineering solutions integrated with enterprise systems.
7+ years of engineering experience demonstrated via work experience, training, military service, or education.
7+ years in technology roles such as software engineering, enterprise architecture, database technology, machine learning, or AI transformation.
Experience with AI/ML production-grade solutions, enterprise-scale AI platform design, cloud-native distributed systems, and database platforms like Oracle, PostgreSQL, or MongoDB.
Advanced degree required in Computer Science, AI, ML, Data Science, Engineering, Mathematics, or closely related field.
Experienced technical leader with over 7 years defining architecture, technology strategies, and reusable engineering patterns in large enterprises.
Deep hands-on and strategic expertise in Generative AI, Agentic AI, ML, LLM applications, AI governance, and regulatory compliance in risk-sensitive industries.
Proven ability to lead complex cross-functional AI initiatives involving cloud platforms, cybersecurity, knowledge management, and enterprise AI adoption at scale, influencing senior leadership and driving transformation.