Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly expanding IT services company seeking talented individuals to shape their career success. Our vision is to be the most trusted technology partner for our clients and a premier destination for industry professionals.

We empower enterprise clients across financial services, healthcare, transportation & logistics, and professional services with cutting-edge technology solutions. Our expertise spans Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation, tackling complex, mission-critical applications.

Define and execute enterprise Generative AI strategies, setting AI engineering standards and governance frameworks. Lead the design of enterprise-scale AI architectures using platforms like Amazon Bedrock and Azure OpenAI Service. Establish standards for Retrieval-Augmented Generation (RAG), AI agents, and autonomous workflows.

Drive the adoption of multi-agent architectures and ensure Human-in-the-Loop (HITL) governance. Define standards for model customization, prompt engineering, and AI solution lifecycle management. Develop architecture patterns and engineering standards using frameworks like LangChain and LangGraph.

Establish cloud integration and deployment standards for secure, scalable AI-enabled applications. Ensure AI solutions meet objectives for scalability, reliability, and business value. Guide teams on GenAI architecture, agentic systems, and enterprise AI adoption best practices. Identify and mitigate AI-related risks and governance gaps.

Proven experience in Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Search Index, LangChain, and AI Agents & Tool Calling is mandatory.

Demonstrate leadership and accountability in driving AI engineering excellence. Collaborate effectively with diverse teams and business stakeholders to ensure smooth project delivery. We are looking for individuals who can guide architecture reviews and ensure AI solutions align with scalability, reliability, maintainability, explainability, and business value objectives.