Enterprise AI Architect / AI Platform Architect

Experience: 15+ years preferred

Role Overview

We are seeking a senior Enterprise AI Architect / AI Platform Architect to lead the design of enterprise AI platforms, AI-enabled SDLC frameworks, agentic AI solutions, and modernization strategies.

This role requires a senior technology leader with experience across Enterprise AI Architecture, Agentic AI, GenAI platforms, product engineering, application modernization, APIs, microservices, cloud-native architecture, enterprise integration, and AI governance .

Key Responsibilities

Enterprise AI Architecture & Platform Strategy

• Define enterprise AI platform strategy, target-state architecture, and AI adoption roadmap.
• Architect scalable GenAI solutions, AI agents, RAG platforms, enterprise search, intelligent assistants, and automation frameworks.
• Design reusable AI platform capabilities including orchestration, evaluation, observability, governance, security, and lifecycle management.

Agentic AI & AI-Enabled SDLC

• Design agentic AI architectures supporting autonomous workflows, contextual reasoning, tool usage, and human-in-the-loop execution.
• Establish architecture patterns for AI-assisted engineering across requirements, design, development, testing, deployment, and documentation.
• Guide responsible adoption of tools such as Cursor, Claude Code, GitHub Copilot, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Gemini .
• Lead modernization strategy using API-first, microservices-based, cloud-native, and event-driven architecture patterns.
• Design integration frameworks connecting legacy platforms, modern applications, AI services, data platforms, and enterprise workflows.
• Establish reusable accelerators, platform standards, governance models, and enterprise architecture patterns.

Leadership & Stakeholder Advisory

• Act as a trusted advisor to business, product, engineering, architecture, and executive stakeholders.
• Lead architecture workshops, discovery sessions, solution reviews, roadmap planning, and technology strategy discussions.
• Translate business goals into practical AI platform roadmaps and executable architecture plans.

Required Qualifications

• 15+ years of experience in enterprise architecture, AI architecture, platform architecture, product engineering, or technology transformation.
• Strong experience designing enterprise-scale AI, GenAI, agentic AI, or intelligent automation platforms.
• Deep understanding of LLM applications, AI agents, RAG, enterprise search, orchestration, observability, MLOps/LLMOps, and AI governance.
• Strong background in APIs, microservices, enterprise integration, cloud-native platforms, and application modernization.
• Experience defining architecture roadmaps, reusable frameworks, platform standards, and modernization accelerators.
• Ability to influence executive stakeholders, architecture boards, product teams, and engineering leaders.
• Exposure to LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, LlamaIndex, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Gemini is preferred.

Ideal Candidate Profile

The ideal candidate is a senior AI and platform architecture leader who can operate at both strategy and execution levels . This person should be able to define AI platform direction, guide architecture decisions, establish governance, influence stakeholders, and help engineering teams execute scalable AI adoption.