Organization:- Leading Global Management Consulting Organization

Role :- Enterprise AI Architect

Experience :- 8-16 Years(Designation will be based on experience grid of the company and interview Performance)

Location:- Gurugram/ Mumbai/ Hyderabad/ Chennai/ Bengaluru

ABOUT THE ROLE

This role sits at the intersection of strategy and engineering: you will shape the data and AI architecture roadmap for Fortune 500 clients, lead work-streams of consultants and client-side engineers, and act as the firm's technical conscience in the room — pressure-testing vendor claims, sizing build-vs-buy trade-offs, and ensuring solutions are production-grade, not slideware.

Key Roles and Responsibilities

· Design end-to-end Agentic AI solutions for enterprise clients.

· Design, Evaluate and recommend Agentic AI platforms/infra architecture, frameworks and tools.

· Design AI agent architectures, agent harnesses and orchestration frameworks.

· Enable data readiness for agentic consumption to ensure highest accuracy

· Leverage agentic AI services (by AWS, Azure and/or GCP) while solutioning agentic architectures

· Assess infrastructure requirements including GPU sizing, scalability, performance and deployment architecture.

· Develop solution blueprints, architecture roadmaps and technical recommendations.





· Translate business requirements into scalable AI solution designs and technology architectures.

· Build business cases and articulate the value of AI solutions to senior stakeholders.

· Work closely with CTOs, CDOs, CIOs and business leaders to simplify complex AI concepts and communicate recommendations.

· Support client discussions, solutioning, proposals and executive presentations.

Technical Expertise required in

· Python

· Agent development and orchestration frameworks such as Google-ADK, LangGraph, LangChain or equivalent

· LLM APIs and capabilities

· Agentic RAG

· Multi-modality AI agents - text, images, audio, video

· MCP Servers, Tools, Skills

· AI Guardrails

· AI Observability – Logging, Tracing, Agent Score Cards

· Cloud platforms – AWS, Azure , GCP

· Agent Ops

· AI infrastructure and GPU sizing, Inferencing

· Ontologies / Ontology Engineering

Educational Requirement:

· Bachelor's degree in Engineering/Technology from a Tier-1 engineering institution or from solid Tier-1 engineering colleges beyond the top IITs may also be considered.

· Postgraduate qualification is a plus.

· Engineering Certification on Agentic AI is preferable

📌 Enterprise AI Architect (Gurugram)
🏢 Intelliserve Konsulting
📍 Gurugram