Fullstack Gen AI GCP - Lead

Iris Software Inc.; Dadri; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Iris Software Inc. is seeking a senior AI architect to lead enterprise GenAI strategy and governance. You will drive architecture using Bedrock, Azure services, and AI Search Index, shaping multi-agent and HITL-enabled solutions across business units.

The role emphasizes standards, security, and scalable AI engineering practices while collaborating with leadership to maximize business value and impact.

Qualifications

• Mandatory AI systems and GenAI concepts for enterprise usage.
• Experience with cloud integration and deployment of AI solutions.
• Familiarity with LangChain, LangGraph and AI search index concepts.
• Hands-on with tool-calling frameworks and autonomous workflows.
• Proficient in Python and infrastructure as code (Terraform).

Responsibilities

• Define and drive enterprise Generative AI strategy aligned with objectives and AI transformation initiatives.
• Establish AI engineering standards, governance frameworks, and best practices for enterprise AI delivery.
• Lead the design of enterprise-scale AI architecture using Bedrock, Azure OpenAI, Azure Foundry, and AI Search Index platforms.
• Define enterprise standards for 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 multi-agent architectures with HITL governance and scalable AI engineering patterns.
• Establish governance standards for model customization, fine-tuning, prompt engineering, retrieval quality, and lifecycle management.
• Define architecture patterns and pipelines using LangChain, LangGraph, and related orchestration frameworks.
• Establish secure API design, authentication, authorization, asynchronous processing, scheduling, and observability.
• Lead cloud integration and deployment standards for scalable AI-enabled applications.
• Drive enterprise integration across databases, enterprise APIs, messaging platforms, and cloud-native AI deployment.
• Lead architecture reviews to ensure scalability, reliability, maintainability, explainability and business value.
• Guide teams on GenAI architecture, agentic systems, governance, and enterprise adoption best practices.
• Identify AI risks and mitigation strategies while aligning with business objectives.
• Collaborate with stakeholders to align AI initiatives with organizational goals.

Skills

Agentic AI Systems

GenAI Concepts

Cloud Application Integration

LangChain

LangGraph

AI Search Index

AI Agents & Tool Calling

Python

Terraform

Tools

LangChain

LangGraph

AI Search Index

Amazon Bedrock

Azure OpenAI Service

Azure AI Foundry

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 that truly values your talent and ambitions?Join Iris Software — one ofthe fastest-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,LangChain,LangGraph,AI Search Index,AI Agents & Tool Calling

Additional Skills:

Python,Terraform

Key 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.
• Promotes a culture of innovation, responsible AI adoption, quality, and continuous improvement.
• Applies strategic thinking to address AI risks, architectural challenges, governance requirements, and business priorities.
• Demonstrates strong decision-making while balancing innovation, scalability, reliability, governance, and business objectives.
• Communicates effectively regarding AI strategy, risks, dependencies, solution outcomes, and business value.