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Tier-1 employer and metro Bangalore increase competition, but niche GenAI agent expertise limits applicant pool.
Requires deep enterprise GenAI and regulated-industry experience, limiting transferability across industries.
Explicit 7+ years, mandatory GenAI/platform/enterprise and governance experience creates strict shortlisting filters.
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Lead design, architecture, and enterprise adoption of GenAI and Agentic AI platforms, tools, and autonomous agents across CCIBT.
Develop enterprise-grade AI agents, orchestration frameworks, AI-enabled workflows, and scalable AI-powered software development lifecycle (SDLC) accelerators.
Collaborate across Architecture, Security, Data, and Platform teams to ensure governance, risk management, and to drive AI innovation and implementation at scale.
7+ years of engineering experience (work experience, training, military experience, education).
Hands-on experience with GenAI technologies including LLMs, RAG architectures, vector databases, AI orchestration frameworks, and AI agents.
Experience designing and delivering enterprise-scale platforms or developer tools and strong knowledge of cloud-native technologies, APIs, and distributed systems.
Not explicitly mentioned in the JD: notice period or strict location requirements.
Demonstrated ability to lead AI strategy, architecture, and implementation in complex enterprise or regulated environments (financial services preferred).
Experience influencing technical decisions across multiple teams with exposure to AI governance, compliance, and responsible AI practices.
Proven skills in enabling AI-assisted software engineering processes such as code generation, testing, and developer productivity enhancements leveraging modern AI platforms and tools.