Join Iris Software, a rapidly growing IT services company recognized among India's Top 25 Best Workplaces in the IT industry. We are seeking a Fullstack Gen AI Lead to drive our Generative AI initiatives. At Iris, we foster an award-winning culture that values talent and ambition, providing a launchpad for your career growth. Our vision is to be a trusted technology partner, empowering enterprise clients across various sectors with cutting-edge solutions.

We specialize in complex, mission-critical applications, leveraging the latest technologies in Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Our Employee Value Proposition, “Build Your Future. Own Your Journey.”, emphasizes career ownership and growth opportunities. Experience cutting-edge projects, personalized development, and continuous learning in an environment where your contributions create real impact.

Define and execute the enterprise Generative AI strategy, aligning with organizational goals and AI transformation efforts. Establish robust AI engineering standards, governance frameworks, and best practices for solution delivery. Lead the architecture design for enterprise-scale AI solutions using platforms like Amazon Bedrock, Azure OpenAI Service, and AI Search Index. Develop standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation.

Drive the adoption of AI agents, tool-calling frameworks, and autonomous workflows across business functions. Implement enterprise multi-agent architectures and Human-in-the-Loop (HITL) governance. Establish standards for model customization, fine-tuning, prompt engineering, and AI solution lifecycle management. Define architecture patterns and engineering standards using LangChain, LangGraph, and related frameworks. Ensure secure API design, deployment, observability, and operational resilience for AI-enabled applications.

Mandatory skills include expertise in Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, LangChain, LangGraph, AI Search Index, and AI Agents & Tool Calling. Proficiency in Python and Terraform is also required. Experience with DevOps/Configuration Management, prompt engineering, vector databases, and Retrieval Augmented Generation (RAG) is essential. You should possess strong communication and collaboration skills, demonstrating leadership, accountability, and strategic thinking in driving AI engineering excellence. A background in Cloud (GCP - Apigee API Management, API Gateway) is beneficial.