Gen AI Fullstack - Lead

Iris Software Inc.; Dadri; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Iris Software is seeking a Senior AI Architect to lead enterprise GenAI strategy and architecture. You will define standards, govern AI lifecycles, and drive adoption of AI agents and tools across business units.

Role involves leading governance, cloud-native deployment, and collaboration with stakeholders to realize tangible business value. Experience with LangChain and vector databases is preferred.

Qualifications

• Experience designing enterprise GenAI architectures.
• Strong grasp of AI governance and model lifecycle management.
• Proficiency in cloud-native AI solution delivery and deployment.
• Familiarity with retrieval-augmented generation and vector databases.
• Hands-on experience with LangChain or similar frameworks.

Responsibilities

• Define and drive enterprise Generative AI strategy aligned with objectives and transformation initiatives.
• Establish AI engineering standards, governance, and best practices for enterprise AI delivery.
• Lead design of enterprise-scale AI architecture using cloud platforms and AI services.
• Define enterprise standards for RAG, agentic AI systems, and intelligent automation architectures.
• Drive adoption of AI agents, tool-calling frameworks, and autonomous workflow solutions.
• Lead governance for model customization, prompt engineering, and solution lifecycle management.
• Guide teams on GenAI architecture, governance, and enterprise adoption best practices.
• Collaborate with stakeholders to align AI initiatives with business goals.

Skills

Agentic AI Systems

GenAI & Agentic Concepts

Cloud Application Integration

AI Search Index

AI Agents & Tool Calling

LangChain

Job description

Job Description:

Why Join Iris?

Are you ready to do the best work of your career at one ofIndia’s Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture thattruly values your talent and ambitions?
Join Iris Software — one offastest-growing IT services companies— whereyou own and shape your success story.

About Us

At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job — it’s a launchpad for growth.

Our Employee Value Proposition, "Build Your Future. Own Your Journey." reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

Mandatory Skills:

Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Search Index, AI Agents & Tool Calling, LangChainKey

Responsibilities

• Define and drive enterprise Generative AI strategy aligned with organizational objectives, innovation goals, and AI transformation initiatives.
• Establish AI engineering standards, governance frameworks, and best practices for enterprise AI solution delivery.
• Lead the design of enterprise-scale AI architecture using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
• Define enterprise standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation architectures.
• Drive adoption of AI agents, tool-calling frameworks, and autonomous workflow solutions across business functions.
• Drive adoption of enterprise multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns supporting 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.
• Define architecture patterns and engineering standards using LangChain, LangGraph, and related workflow orchestration frameworks.
• Establish enterprise AI engineering standards covering secure API design, authentication, authorization, asynchronous processing, scheduling, scalability, deployment, observability, and operational resilience.
• Establish cloud integration and deployment standards for scalable and secure AI-enabled applications.
• Establish enterprise integration standards supporting databases, enterprise APIs, messaging platforms, and cloud-native AI application deployment.
• Lead architecture reviews and ensure AI solutions meet scalability, reliability, maintainability, explainability, and business value objectives.
• Guide 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 while defining mitigation strategies.
• Collaborate with various 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.

Behavioral Competencies

• Demonstrates leadership and accountability in driving AI engineering excellence across programs and initiatives.
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.

Perks and Benefits for Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

Requirements: