AI Architect

Location: Mumbai/ Gurugram/ Bengaluru

Role Overview

We are looking for an experienced Enterprise AI/ Agentic AI Architect to design scalable AI solutions, define technology roadmaps, and advise enterprise clients on AI adoption and transformation.

Key Responsibilities

• Design end-to-end enterprise AI architectures, agent frameworks, and orchestration solutions for complex business use cases.
• Define AI architecture standards, technology roadmaps, and solution blueprints, leveraging AWS, Azure, or GCP.
• Architect Agentic RAG, multi-agent systems, multimodal AI solutions, and MCP-based tools and integrations.
• Define data readiness, AI infrastructure, model deployment, scalability, and performance requirements, including GPU sizing where needed.
• Establish AI security, guardrails, responsible AI practices, observability, evaluation frameworks, and AgentOps processes.
• Evaluate LLMs, AI platforms, frameworks, vector databases, and knowledge architectures to recommend suitable enterprise solutions.
• Work with senior business and technology leaders to translate business challenges into AI strategies, build business cases, and lead architecture workshops and executive discussions.
• Support presales, proposals, and client engagements while collaborating with engineering, cloud, data, and cybersecurity teams.

Requirements

• Bachelor's degree in Engineering, Technology, or a related field; postgraduate qualifications and relevant AI/cloud certifications are a plus.
• Significant experience in Enterprise Architecture, AI Architecture, Solution Architecture, or Technology Consulting, with proven experience designing enterprise-scale AI solutions.
• Strong understanding of Python, LLM APIs, prompt engineering, and agent frameworks such as LangGraph, LangChain, or Google ADK.
• Hands-on knowledge of Agentic RAG, MCP, multi-agent architectures, vector databases, AI security, and observability.
• Experience with AWS, Azure, or GCP, including AI infrastructure, model deployment, scalability, and performance optimization.
• Strong enterprise architecture, problem-solving, stakeholder management, and executive communication skills, with experience in client advisory, solutioning, or presales preferred.