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 committed to helping clients thrive through technology-enabled transformation. Our vision is to be the most trusted technology partner and the preferred choice for top industry professionals.

At Iris, we empower our employees to "Build Your Future. Own Your Journey." We cultivate an environment where your potential is valued, your voice is heard, and your work makes a real impact. With cutting-edge projects, personalized career development, continuous learning, and mentorship, we support your professional and personal growth.

Spearhead the definition and execution of enterprise Generative AI strategy, aligning with organizational goals and innovation objectives.

Establish robust AI engineering standards, governance frameworks, and best practices for delivering enterprise AI solutions.

Lead the architectural design of enterprise-scale AI solutions utilizing platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index.

Define enterprise standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation architectures.

Drive the adoption of AI agents, tool-calling frameworks, and autonomous workflow solutions across various business functions.

Champion the implementation of enterprise multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns for secure and reliable business automation.

Establish governance standards for model customization, fine-tuning, prompt engineering, retrieval quality, and AI solution lifecycle management.

Define enterprise standards for prompt engineering pipelines, vector databases, semantic search, Retrieval-Augmented Generation, Model Context Protocol (MCP), and AI agent orchestration frameworks.

Develop architecture patterns and engineering standards leveraging LangChain, LangGraph, and related workflow orchestration frameworks.

Establish comprehensive enterprise AI engineering standards encompassing secure API design, authentication, authorization, asynchronous processing, scheduling, scalability, deployment, observability, and operational resilience.

Define cloud integration and deployment standards for scalable and secure AI-enabled applications.

Set enterprise integration standards for databases, enterprise APIs, messaging platforms, and cloud-native AI application deployment.

Conduct architecture reviews to ensure AI solutions meet objectives for scalability, reliability, maintainability, explainability, and business value.

Provide guidance to teams on GenAI architecture, agentic systems, AI governance, and enterprise AI adoption best practices.

Identify AI-related risks, governance gaps, operational challenges, and architectural limitations, and define mitigation strategies.

Collaborate with diverse teams and leadership stakeholders to align AI initiatives with organizational objectives.

Drive continuous improvement initiatives focused on AI maturity, innovation, operational effectiveness, governance, and business value realization.

This leadership role requires a strong command of Agentic AI Systems and advanced Generative AI and Agentic Framework concepts. Expertise in Cloud Application Integration & Deployment, AI Search Index, AI Agents & Tool Calling, and LangChain is mandatory.

Candidates must demonstrate exceptional leadership and accountability in driving AI engineering excellence. The ability to collaborate effectively with various teams and business stakeholders for smooth delivery is essential.

We are seeking individuals who can shape enterprise AI strategy, define architecture patterns, and establish robust governance and engineering standards for scalable, secure, and reliable AI solutions.