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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop enterprise Generative AI solutions using platforms like Amazon Bedrock, Azure OpenAI Service, and Azure AI Foundry.
Lead architecture and implementation of Retrieval-Augmented Generation (RAG), Agentic AI systems, multi-agent orchestration, and prompt engineering pipelines for scalable AI applications.
Mentor team members, troubleshoot AI workflows, define integration patterns, and drive continuous improvement of AI solution quality and operational effectiveness.
Minimum Requirements
Expertise in Retrieval-Augmented Generation (RAG), Advanced GenAI concepts, Agentic AI systems, LangChain, Azure AI Foundry, Azure OpenAI Service, and cloud application integration.
Experience with designing and deploying enterprise AI architectures including multi-agent orchestration, prompt engineering, vector databases, and AI model fine-tuning.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Must be located in or willing to work in Noida, UP, India.
Ideal Candidate Profile
Deep technical proficiency in Generative AI frameworks and cloud-native AI solution architecture, able to lead complex AI engineering initiatives.
Experienced in enterprise-grade AI system design, including AI agent development, prompt strategy optimization, and AI response evaluation frameworks.
Capable of leading teams, mentoring peers, and collaborating cross-functionally to align AI solutions with business and technical objectives.