Gen AI Fullstack - Technical Architect

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 of thefastest-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 .

Job Description

Mandatory Skills:

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

Role Purpose

• Lead the architecture and delivery of enterprise-grade Generative AI and Agentic AI solutions, translating business requirements into scalable, secure, and production-ready AI platforms.
• Own the technical vision from discovery and PoC through production deployment and optimization.

Key Responsibilities

• Design end-to-end GenAI, RAG, Agentic AI and multi-agent architectures.
• Define solution patterns covering LLMs, embeddings, vector databases, orchestration, APIs, data pipelines and enterprise integrations.
• Architect AI agents with tool/function calling, workflow orchestration, memory, Human-in-the-Loop and MCP-based integrations.
• Evaluate and select appropriate foundation models, AI platforms and architecture patterns based on quality, latency, security and cost.
• Design solutions using Azure OpenAI / Azure AI Foundry, Amazon Bedrock / AgentCore, Google Vertex AI or equivalent platforms.
• Establish LLMOps, evaluation, observability, guardrails and Responsible AI practices.
• Define scalable cloud-native deployment architectures using APIs, containers, Kubernetes, serverless and asynchronous/event-driven patterns.
• Ensure architecture meets enterprise requirements for security, privacy, resilience, scalability, compliance and cost optimization.
• Lead architecture workshops, technical design reviews, PoCs and solution demonstrations.
• Create reference architectures, technical standards and reusable accelerators for GenAI adoption.
• Partner with business, product, security, data and engineering stakeholders to drive solutions from use case identification to production adoption.

Required Skills

• Strong expertise in Generative AI, LLMs, Agentic AI and AI solution architecture.
• Hands-on experience with RAG, embeddings, vector search and semantic retrieval.
• Experience with agent frameworks such as LangGraph, LangChain, Microsoft Agent Framework, Semantic Kernel, Bedrock Agents/AgentCore or equivalent.
• Strong understanding of multi-agent orchestration, tool calling, context engineering, memory and Human-in-the-Loop patterns.
• Experience with one or more cloud AI ecosystems: Azure, AWS or GCP.
• Strong knowledge of Python, REST APIs, microservices and distributed/cloud-native architectures.
• Experience with LLM evaluation, tracing, monitoring, prompt/model versioning and LLMOps/MLOps.
• Understanding of AI security, guardrails, Responsible AI, identity/access management and data governance.
• Ability to assess architectural trade-offs across accuracy, latency, scalability, reliability and cost.

Mandatory Competencies

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 to view the benefits.