AI Architect

12-18+ Years in Enterprise Infrastructure, Cloud Architecture, AI/ML Platforms, Automation, and Digital Transformation

We are seeking an experienced AI Architect to lead the design and implementation of AI-driven solutions across enterprise cloud and infrastructure environments. The role will focus on integrating Generative AI, AIOps, automation, cloud platforms, and enterprise infrastructure services to improve operational efficiency, reliability, security, and business outcomes.

The ideal candidate should possess deep expertise in cloud architecture, enterprise infrastructure, AI technologies, automation platforms, and modern operational frameworks.

AI Strategy & Architecture

Define enterprise AI architecture roadmap aligned with business and technology objectives.

Design scalable AI/ML and Generative AI platforms across hybrid cloud environments.

Establish AI governance, responsible AI practices, security, and compliance frameworks.

Identify AI opportunities across IT Operations, Service Management, Security, Network, Cloud, and End User Computing.

Cloud & Infrastructure Architecture

Architect solutions across: Microsoft Azure

AWS

Google Cloud Platform (GCP)

Design hybrid cloud and multi-cloud architectures.

Define cloud landing zones, security baselines, identity integration, and operational frameworks.

Modernize infrastructure through automation and AI-enabled operations.

AI-Powered Infrastructure Operations

Drive enterprise use cases such as:

AIOps

Predictive incident management

Event correlation and noise reduction

Root cause analysis automation

Capacity forecasting

Service health monitoring

Network AI

Automated network impact analysis

SD-WAN optimization

AI-assisted troubleshooting

Network anomaly detection

Security AI

Threat detection and response

Security event correlation

AI-driven vulnerability prioritization

Cyber risk analytics

Workplace & End User Computing AI

Virtual agent solutions

AI-powered service desk

Knowledge management automation

Sentiment and experience analytics

GenAI & Copilot Solutions

Design enterprise GenAI platforms using: Azure OpenAI

Microsoft Copilot

AWS Bedrock

Open-source LLMs

Build Retrieval-Augmented Generation (RAG) architectures.

Implement AI assistants and enterprise chatbots.

Integrate AI solutions with ServiceNow, ITSM, CMDB, monitoring, and enterprise applications.

Automation & Engineering

Develop AI-driven automation using: Python

PowerShell

Terraform

Ansible

GitHub Enterprise

DevOps platforms

Design self-healing infrastructure frameworks.

Build infrastructure-as-code and AI-assisted operational workflows.

Stakeholder Management

Collaborate with CIOs, CTOs, Infrastructure Leaders, Security Teams, and Business Stakeholders.

Provide technical leadership for large transformation programs.

Support pre-sales, solutioning, RFP responses, and technical governance.

Required Technical Skills

AI & Data

Generative AI

Large Language Models (LLMs)

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Vector Databases

AI Agents

MLOps

AI Governance

Cloud Platforms

Microsoft Azure

AWS

Google Cloud Platform

Automation

Python

PowerShell

Ansible

Terraform

GitHub Actions

Azure DevOps

Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or related field.

Preferred Certifications

Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure AI Engineer Associate

AWS Solutions Architect Professional

Google Professional Cloud Architect

TOGAF

CISSP (Preferred)

ITIL Expert / Managing Professional

Desired Experience

12+ years in Enterprise Infrastructure & Cloud.

5+ years in AI, Automation, AIOps, or Intelligent Operations.

Experience architecting enterprise-scale solutions supporting 10,000+ users.

Experience leading cloud transformation and AI adoption initiatives.

Strong advisory and customer-facing consulting experience.