Senior Technical Architect

Iris Software Inc.; Dadri; On-site; INR 350,000 - 700,000; Full time

Benefits offered by this job

World-class benefits

Health and well-being support

Career growth opportunities

Job summary

Iris Software Inc. is seeking a GenAI Architect to design and scale enterprise Generative AI solutions. You will work on LLMs, RAG systems, vector databases, and agentic AI frameworks, deploying production-grade GenAI platforms on the cloud.

The role demands hands-on development and architectural leadership across projects. You will design end-to-end GenAI architectures, translate business needs into use cases and roadmaps, and drive secure, scalable cloud deployments with CI/CD, containers, and

Qualifications

• Experience delivering enterprise GenAI solutions (copilots, document Q&A, summarization, assistants).
• Strong understanding of LLM prompting, embeddings, latency, cost.
• Hands-on with vector stores and retrieval systems.

Responsibilities

• Design end-to-end GenAI architectures including RAG pipelines and agent workflows.
• Translate business needs into GenAI use cases and roadmaps.
• Architect and optimize retrieval systems with embeddings and metadata filtering.
• Integrate vector databases with performance and scalability in mind.
• Build agentic AI solutions using LangChain, LangGraph, MCP, and tool-calling frameworks.
• Define cloud-native architectures for secure GenAI deployments.
• Drive productionization with CI/CD, containers, observability and cost controls.
• Ensure Responsible AI practices covering security, privacy, compliance, and monitoring.
• Provide technical leadership across engineering teams.

Skills

LLMs concepts

GenAI architectures

RAG pipelines

Evaluation metrics

Enterprise GenAI

Tools

Pinecone

FAISS

Weaviate

Chroma

Milvus

Azure AI Search

Elastic

Docker

Kubernetes

Job description

Why Join Iris?

Are you ready to do the best work of your career at one of India'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 of the fastest growing IT services companies- where you 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.

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

We are looking for a GenAI Architect to design and scale enterprise Generative AI solutions. This role requires strong hands-on and architectural expertise in LLMs, RAG systems, vector databases, and agentic AI frameworks, along with experience deploying production-grade GenAI platforms on the cloud.

Key Responsibilities

• Design end-to-end GenAI architectures including RAG pipelines, agent workflows, and multimodal use cases.
• Translate business needs into GenAI use cases, architecture designs, and implementation roadmaps.
• Architect and optimize retrieval systems (embeddings, chunking, metadata filtering, reranking, evaluations).
• Select and integrate vector databases, tuning for performance, relevance, and scalability.
• Build agentic AI solutions using LangChain, LangGraph, MCP, and tool-calling frameworks.
• Define cloud-native architectures for secure, scalable GenAI deployments.
• Drive productionization using CI/CD pipelines, containers, observability, and cost controls.
• Ensure Responsible AI practices covering security, privacy, compliance, and monitoring.
• Provide technical leadership and mentoring across engineering teams.

Required Skills

GenAI & LLM Architecture

• Strong understanding of LLMs: prompting, RAG vs fine-tuning, embeddings, context limits, hallucination control.
• Experience delivering enterprise GenAI solutions (copilots, document Q&A, summarization, assistants).
• Knowledge of evaluation metrics: relevance, groundedness, latency, and cost.

Retrieval & Vector Databases

• Experience with embeddings, ANN search, hybrid retrieval, and metadata filtering.
• Hands-on exposure to vector stores such as Pinecone, FAISS, Weaviate, Chroma, Milvus, Azure AI Search, Elastic.

Agentic AI

• Working knowledge of LangChain, LangGraph, MCP, multi-agent workflows, memory, and guardrails.

Cloud & DevOps

• Experience designing GenAI workloads on AWS / Azure / GCP.
• Strong understanding of Docker, Kubernetes, API deployments, CI/CD, and MLOps practices.

Good to Have

• RAG optimization (advanced chunking, reranking, feedback loops).
• LLM integrations (OpenAI, Azure OpenAI, Anthropic, Gemini, open-source models).
• GenAI observability, prompt/version management, and Responsible AI controls.

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.