Lead the charge in Generative AI innovation at Iris Software, a recognized Top 25 Best Workplace in India's IT industry. We are seeking a dynamic leader to shape our enterprise AI strategy and drive technological transformation. Join an award-winning culture where your ambitions are valued and your career growth is a priority. Iris Software is a rapidly expanding IT services company committed to being a trusted technology partner for our clients worldwide.

Our vision is to empower enterprise clients across financial services, healthcare, transportation, and professional services through cutting-edge technology solutions. We specialize in complex, mission-critical applications, leveraging the latest advancements in areas like AI, Cloud, DevOps, and Data Engineering. At Iris, your role is more than just a job; it's a launchpad for your future, offering ownership, continuous learning, and impactful projects.

Spearhead the development and execution of enterprise Generative AI strategy, aligning with innovation and transformation goals. Establish robust AI engineering standards, governance frameworks, and best practices for delivering scalable AI solutions.

Design enterprise-scale AI architectures utilizing platforms like Amazon Bedrock, Azure OpenAI Service, and AI Search Index. 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. Champion multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns for secure automation.

Establish comprehensive governance standards for model customization, prompt engineering, and AI solution lifecycle management. Define enterprise standards for prompt engineering pipelines, vector databases, semantic search, and AI agent orchestration.

Develop architecture patterns and engineering standards using LangChain and LangGraph. Ensure secure API design, scalability, deployment, observability, and operational resilience for AI-enabled applications.

Lead architecture reviews to ensure AI solutions meet stringent scalability, reliability, and business value objectives. Guide teams on GenAI architecture, agentic systems, and AI governance best practices. Identify and mitigate AI-related risks and operational challenges. Foster continuous improvement in AI maturity and business value realization.

This leadership role demands a strong command of mandatory skills including Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Search Index, AI Agents & Tool Calling, LangChain, and LangGraph.

Key responsibilities include defining enterprise Generative AI strategy, establishing AI engineering standards, and designing enterprise-scale AI architectures. You will also be responsible for setting standards for RAG, agentic AI systems, and driving the adoption of AI agents and multi-agent architectures.

Furthermore, you will establish governance standards for model customization, prompt engineering, and AI solution lifecycle management. Experience with developing architecture patterns and engineering standards using LangChain and LangGraph is essential, as is ensuring secure API design, scalability, and operational resilience.

Leading architecture reviews, guiding teams on GenAI best practices, identifying AI-related risks, and driving continuous improvement initiatives are also crucial aspects of this position. Behavioral competencies such as leadership, accountability, effective collaboration, and promoting a culture of innovation are highly valued.