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Job Description
Structured overview of role & requirementsAbout This Role
Define and drive enterprise Generative AI strategy and transformation initiatives aligned with organizational goals.
Establish and lead AI engineering standards, governance frameworks, and best practices for scalable, secure, and reliable enterprise AI solution delivery.
Lead architecture design and reviews for enterprise-scale AI systems using platforms like Amazon Bedrock, Azure OpenAI Service, and LangChain, ensuring adoption of advanced AI models, agentic systems, and autonomous workflows.
Minimum Requirements
Expertise in Agentic AI Systems, Advanced GenAI & Agentic Framework concepts, Cloud Application integration and deployment, AI Search Index, LangChain, AI Agents, and Tool Calling frameworks.
Experience with designing and implementing enterprise-scale AI architectures using platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry or similar.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Noida, UP, India (onsite or location-specific not explicitly mentioned).
Ideal Candidate Profile
Experienced in enterprise AI strategy and governance with ability to lead AI engineering excellence across programs and teams.
Capacity to collaborate with cross-functional teams and leadership to align AI initiatives with business objectives and drive adoption of AI agents and multi-agent architectures.
Strong in defining operational standards for AI lifecycle including prompt engineering, model customization, AI governance, scalability, security, and observability in cloud environments.