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Specialized GenAI leadership role with niche tooling reduces qualified applicant density.
Requires specialized GenAI, agentic frameworks and enterprise AI architecture, limiting transferability across industries.
Many mandatory GenAI, agentic framework, cloud and architecture competencies create strict filtering.
Define and drive enterprise-wide Generative AI strategy and AI transformation initiatives aligned with organization goals.
Establish and enforce AI engineering standards, governance frameworks, and best practices for enterprise AI solution architecture and delivery.
Lead architecture design and adoption of advanced AI technologies including Retrieval-Augmented Generation (RAG), agentic AI systems, LangChain, and cloud AI service platforms (Azure OpenAI, Amazon Bedrock).
Mandatory skills: Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, Agentic AI Systems, Retrieval-Augmented Generation (RAG), Azure OpenAI Service, AI Agents & Tool Calling, LangChain.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Noida, UP, India (must be willing to work there).
Proficiency with data science and AI tools such as Pandas, NumPy, Python, and cloud-native AI application deployment required.
Experienced in leading enterprise AI architecture strategy with multi-agent AI systems and AI governance frameworks.
Comfortable collaborating with leadership and cross-functional teams to align AI initiatives with business objectives.
Skilled in integrating AI solution lifecycle management with operational scalability, reliability, and security standards in cloud environments.