Job Description
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.
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.
At Iris, every role is more than a job — it’s a launchpad for growth.
Job Description
Mandatory Skills:
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 here to view the benefits.
Job Details
| Role Level: | Executive-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Noida ,Uttar Pradesh |
| Company Website: | https://www.irissoftware.com | Job Function: | Software Development |
| Company Industry/ Sector: |
IT Services and IT Consulting | ||
What We Offer
About the Company
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