Lead the future of Generative AI at Iris Software, a recognized Top 25 Best Workplace in India's IT sector. This is an opportunity to shape enterprise AI strategy and drive technological innovation within an award-winning, fast-growing company.

Join a team dedicated to being a trusted technology partner, empowering enterprise clients across financial services, healthcare, transportation, and professional services. You will work on complex, mission-critical applications utilizing cutting-edge technologies.

At Iris, we believe in empowering our employees to 'Build Your Future. Own Your Journey.' Experience a culture that values your potential, amplifies your voice, and drives real impact through cutting-edge projects, personalized development, and continuous learning.

Spearhead the development and implementation of enterprise Generative AI strategy, ensuring alignment with business objectives and innovation goals.

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

Architect enterprise-scale AI solutions leveraging platforms like Amazon Bedrock, Azure OpenAI Service, and AI Search Index.

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

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

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

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

Define enterprise standards for prompt engineering pipelines, vector databases, semantic search, and AI agent orchestration frameworks.

Architect patterns using LangChain, LangGraph, and related workflow orchestration tools.

Set enterprise AI engineering standards covering secure API design, deployment, scalability, observability, and operational resilience.

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

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

Guide teams on GenAI architecture, agentic systems, AI governance, and enterprise AI adoption best practices.

Identify and mitigate AI-related risks, governance gaps, and architectural limitations.

Collaborate with stakeholders to align AI initiatives with organizational goals and drive continuous improvement in AI maturity and business value realization.

This leadership role requires a strong command of Agentic AI Systems and advanced Generative AI and Agentic Framework concepts.

Proficiency in Cloud Application Integration & Deployment is essential, alongside experience with AI Search Index, AI Agents & Tool Calling, and frameworks like LangChain.

Demonstrated leadership and accountability in driving AI engineering excellence are crucial.

Effective collaboration with various teams and business stakeholders is expected for smooth project delivery.

Noida, Uttar Pradesh, India is the primary work location, with a hybrid work model expected.