Job Overview

Gen AI Fullstack - Technical Architect

Location

Noida

Company

Iris Software

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.

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

Required Skills
- Solid 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.

📌 Gen AI Fullstack - Technical Architect (Noida)
🏢 IRIS SOFTWARE
📍 Noida