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Tier-1 brand and Bengaluru metro raise density, but specialized Principal GenAI skills limit generalist competition.
Specialized GenAI platform, LLMOps, and AI governance skills make cross-industry transferability limited.
Explicit 7+ years plus deep GenAI, LLMOps, cloud and tooling requirements create strict candidate filters.
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Advise leadership on complex technology solutions across multiple enterprise domains with a focus on long-term, large-scale innovation and strategic impact.
Lead strategy and resolution of highly complex technical challenges in Gen AI and related AI-driven products and platforms.
Provide vision and expertise on implementation of enterprise AI solutions, maintaining industry best practices and influencing cross-enterprise engagement.
Minimum 7+ years of engineering experience through work, training, military, or education.
Experience in designing and scaling enterprise GenAI platforms or AI-driven products.
Proficiency with cloud AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Work Experience Required: Minimum 7+ years (explicit)
Deep expertise in Agentic AI, multi-agent systems, RAG architectures, Knowledge Graphs, long-term memory frameworks, and model orchestration.
Strong background in cloud-native engineering including Kubernetes, microservices, containers, AI platform engineering with LLMOps and CI/CD automation.
Experience with AI observability, security, responsible AI governance, AI cost optimization, and designing reusable APIs/SDKs to drive enterprise adoption.