Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly growing IT services company committed to empowering our employees to own and shape their success stories. Our vision is to be the most trusted technology partner for our enterprise clients, fostering an environment where top professionals can realize their full potential.

We serve clients across financial services, healthcare, transportation & logistics, and professional services, working on complex, mission-critical applications. Our expertise spans Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation, leveraging the latest technologies.

Define and implement enterprise Generative AI strategy, aligning with organizational objectives and AI transformation goals. Establish robust AI engineering standards, governance frameworks, and best practices for AI solution delivery.

Lead the design of enterprise-scale AI architectures using platforms like Amazon Bedrock, Azure OpenAI Service, or Azure AI Foundry. Define 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. Establish governance for model customization, prompt engineering, and AI solution lifecycle management.

Develop architecture patterns and engineering standards using frameworks such as LangChain and LangGraph. Ensure AI solutions meet objectives for scalability, reliability, maintainability, and business value.

Guide teams on GenAI architecture, agentic systems, and enterprise AI adoption best practices. Identify and mitigate AI-related risks, governance gaps, and architectural limitations.

This role requires deep expertise in Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, and the FastAPI Framework. Proficiency in Python, Graph RAG, Retrieval-Augmented Generation (RAG), AI Agents & Tool Calling, LangChain, LangGraph, Vector Databases, and AI Search Index is mandatory.

Additional beneficial skills include PySpark. Behavioral competencies such as leadership, accountability, effective collaboration, strategic thinking, strong decision-making, and clear communication are essential for success in this role.

Candidates should demonstrate a proactive approach to AI governance, engineering standards, and solution excellence, contributing to continuous improvement initiatives focused on AI maturity, innovation, and business value realization.