Join Iris Software, recognized as one of India's Top 25 Best Workplaces in IT, and contribute to cutting-edge technology solutions. We are a rapidly growing IT services company committed to being our clients' most trusted technology partner and a premier destination for top industry professionals.

Our global presence spans India, the U.S.A., and Canada, where we empower enterprise clients across financial services, healthcare, transportation & logistics, and professional services. We specialize in complex, mission-critical applications leveraging the latest advancements in Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

At Iris, we believe in fostering a culture where your career is a launchpad for growth. Our "Build Your Future. Own Your Journey." philosophy empowers you with ownership and opportunities to shape your career path. Experience cutting-edge projects, personalized career development, continuous learning, and mentorship designed for your holistic professional and personal development.

Define and execute enterprise Generative AI strategies aligned with business objectives and innovation goals. Establish robust AI engineering standards, governance frameworks, and best practices for AI solution delivery. Design enterprise-scale AI architectures utilizing platforms like Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index. Develop enterprise standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation. Promote the adoption of AI agents, tool-calling frameworks, and autonomous workflows across business units. Drive the implementation of multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns. Establish governance standards for model customization, prompt engineering, retrieval quality, and AI solution lifecycle management. Define architecture patterns and engineering standards for workflow orchestration using LangChain and LangGraph. Ensure AI solutions meet objectives for scalability, reliability, maintainability, explainability, and business value through rigorous architecture reviews.

Mandatory skills include expertise in Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Search Index, LangChain, and AI Agents & Tool Calling.

You will be responsible for defining and driving enterprise Generative AI strategy, establishing AI engineering standards, and leading the design of enterprise-scale AI architecture using various cloud platforms.

Key duties involve defining standards for RAG, Graph RAG, agentic AI systems, and intelligent automation, as well as driving the adoption of AI agents and multi-agent architectures.

Additional responsibilities include establishing governance standards for model customization, prompt engineering, and AI solution lifecycle management, alongside defining architecture patterns and engineering standards for workflow orchestration.

This role requires leading architecture reviews to ensure AI solutions are scalable, reliable, maintainable, explainable, and deliver significant business value. Collaboration with diverse teams and leadership stakeholders is crucial for aligning AI initiatives with organizational goals and driving continuous improvement.