Gen AI Architect-Diversity Hiring

Infosys

Hyderabad, Pune District, Bengaluru

On-site

INR 3,500,000 - 7,000,000

Full time

2 days ago
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Job summary

Infosys in Hyderabad is seeking a senior enterprise architect to define and drive Gen AI, Agentic AI, and cloud platform architecture. You will design secure, scalable AI infra across hybrid/multi-cloud, and lead RAG/LLM strategies with governance and best practices.

You will mentor delivery and engineering teams, partner with business leaders on AI roadmaps, and steer modernization initiatives in cloud and automation.

Qualifications

  • Educational qualifications include Master of Engineering, Bachelors in Science/Engineering or BTech.
  • Experience in enterprise AI architecture, Gen AI, cloud and hybrid infrastructure preferred.

Responsibilities

  • Define enterprise architecture for Gen AI, Agentic AI, Cloud, and Infrastructure Automation platforms.
  • Design scalable, secure AI infrastructure across hybrid/multi-cloud environments.
  • Architect Agentic AI solutions, RAG ecosystems, LLM platforms, and knowledge frameworks.
  • Drive cloud modernization, automation, and AI transformation initiatives.
  • Establish architecture standards, governance, security controls, and best practices.
  • Partner with business leaders/customers to define AI strategy and roadmaps.
  • Lead AI platform optimization, scalability planning, and operational excellence.
  • Provide technical leadership and mentorship to delivery, engineering, and architecture teams.

Skills

LLMOps
Generative AI - Basic
Artificial Intelligence - BASIC
retrieval augmented generation (rag)
Python
OpenSystem

Education

Master Of Engineering
Bachelor Of Science
Bachelor of Engineering
BTech

Job description

Roles Responsibilities
  • Define enterprise architecture for Gen AI, Agentic AI, Cloud, and Infrastructure Automation platforms.
  • Design scalable, secure, and resilient AI infrastructure across hybrid and multi-cloud environments.
  • Architect Agentic AI solutions, RAG ecosystems, LLM platforms, and knowledge frameworks.
  • Drive cloud modernization, automation, and AI transformation initiatives.
  • Establish architecture standards, governance models, security controls, and best practices.
  • Partner with business leaders and customers to define AI strategy and technology roadmaps.
  • Lead AI platform optimization, scalability planning, and operational excellence initiatives.
  • Provide technical leadership and mentorship to delivery, engineering, and architecture teams.

Educational RequirementMaster Of Engineering,Bachelor Of Science,Bachelor of Engineering,BTech

Preferred SkillsTechnology->AI-AI Engineering->LLMOps,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->OpenSystem->Python - OpenSystem

Service LineCloud Infrastructure Services

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