Gen AI Fullstack - Lead

Location: Noida

Mandatory Skills

- Agentic AI Systems
- Advanced GenAI Agentic Framework Concepts
- Cloud Application Integration Deployment
- AI Search Index
- AI Agents Tool Calling
- LangChain
- LangGraph

Key Responsibilities
- Define and drive enterprise Generative AI strategy aligned with organizational objectives, innovation goals, and AI transformation initiatives.
- Establish AI engineering standards, governance frameworks, and best practices for enterprise AI solution delivery.
- Lead the design of enterprise-scale AI architecture using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
- Define enterprise standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation architectures.
- Drive adoption of AI agents, tool-calling frameworks, and autonomous workflow solutions across business functions.
- Drive adoption of enterprise multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns supporting secure and reliable business automation.
- Establish governance standards for model customization, fine-tuning, prompt engineering, retrieval quality, and AI solution lifecycle management.
- Define enterprise standards for prompt engineering pipelines, vector databases, semantic search, Retrieval-Augmented Generation, Model Context Protocol (MCP), and AI agent orchestration frameworks.
- Define architecture patterns and engineering standards using LangChain, LangGraph,



and related workflow orchestration frameworks.
- Establish enterprise AI engineering standards covering secure API design, authentication, authorization, asynchronous processing, scheduling, scalability, deployment, observability, and operational resilience.
- Establish cloud integration and deployment standards for scalable and secure AI-enabled applications.
- Establish enterprise integration standards supporting databases, enterprise APIs, messaging platforms, and cloud-native AI application deployment.
- Lead architecture reviews and ensure AI solutions meet scalability, reliability, maintainability, explainability, and business value objectives.
- Guide teams on GenAI architecture, agentic systems, AI governance, and enterprise AI adoption best practices.
- Identify AI-related risks, governance gaps, operational challenges, and architectural limitations while defining mitigation strategies.
- Collaborate with various teams and leadership stakeholders to align AI initiatives with organizational objectives.
- Drive continuous improvement initiatives focused on AI maturity, innovation, operational effectiveness, governance, and business value realization.

Behavioral Competencies
- Demonstrates leadership and accountability in driving AI engineering excellence across programs and initiatives.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Promotes a culture of innovation, responsible AI adoption, quality, and continuous improvement.

📌 Gen AI Fullstack - Lead (Noida)
🏢 IRIS SOFTWARE
📍 Noida