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Tier-1 brand and Bangalore metro increase applicant density despite senior, specialized AI architecture focus.
Deep enterprise AI architecture and regulated-industry governance limit transferable backgrounds.
Mandatory cloud, MLOps, and enterprise architecture requirements create strict technical and domain filters.
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Define and execute enterprise-scale AI architecture strategy aligned with business and R&D priorities.
Architect, build, and scale AI platforms across AWS, Microsoft Azure, and Databricks ensuring security, compliance, and efficiency.
Lead agentic AI, foundation models, and MCP adoption including hands-on AI/ML engineering, governance embedding, and mentoring AI architects.
Proven Enterprise Architecture leadership and hands-on AI/ML engineering experience including LLMs, RAG, MLOps in production.
Proficient with AI platforms on AWS (Bedrock, SageMaker), Azure (Azure AI, ML, OpenAI), and Databricks.
Strong engineering skills in Python, TensorFlow/PyTorch, containers, Kubernetes, and CI/CD for hybrid cloud.
Degree in data science, AI engineering, or a related field (or equivalent experience).
Experienced leader capable of translating AI strategy into production-ready enterprise architectures in regulated environments.
Strong hybrid role combining strategic enterprise architecture leadership with deep hands-on AI/ML engineering expertise.
Ability to simplify complex enterprise landscapes and lead a small team of AI architects globally, driving scalable AI platform adoption.