About Us

At Inabia, we help organizations accelerate digital transformation through innovative technology solutions, enterprise consulting, and world-class engineering talent.

We partner with enterprise clients across multiple industries to deliver scalable cloud platforms, AI-driven modernization initiatives, intelligent automation solutions, and next-generation digital experiences. Our culture is collaborative, fast-paced, innovation-focused, and built around delivering measurable business value.

If you are passionate about AI, enterprise architecture, cloud transformation, and modern engineering practices, we would love to speak with you.

Position Overview

We are seeking a highly experienced Enterprise Architect / Solution Architect – Azure AI to lead the design, governance, and evolution of scalable enterprise AI platform ecosystems supporting enterprise-wide AI adoption initiatives.

This is a highly strategic and hands-on architecture leadership role focused on:

• Azure AI & Generative AI platforms
• AI Landing Zone architecture
• Enterprise integrations
• Responsible AI governance
• Cloud-native modernization
• Enterprise-scale AI enablement
• MLOps and platform engineering

You will serve as the technical authority and architecture lead responsible for designing secure, scalable, compliant, and production-ready AI platforms leveraging:

• Azure OpenAI
• Azure AI Foundry
• Microsoft Fabric
• Microsoft Copilot
• Azure Machine Learning
• Power Platform
• Enterprise Data & Integration Services

This role requires a strong blend of:

• Enterprise architecture leadership
• AI platform engineering expertise
• Cloud-native architecture
• Governance and security knowledge
• Executive stakeholder engagement
• Consulting and delivery leadership

Key Responsibilities

Enterprise AI Platform Architecture

• Design and govern enterprise-scale AI Landing Zone architectures on Microsoft Azure.
• Architect secure, scalable, cloud-native AI platforms leveraging Azure OpenAI, Azure AI Foundry, Microsoft Fabric, Copilot, and related Azure AI services.
• Establish enterprise architecture standards, reusable frameworks, reference architectures, and governance models for AI adoption.

Generative AI & Intelligent Platform Engineering

• Lead the architecture of GenAI, RAG, agentic AI, and intelligent automation solutions.
• Design scalable AI orchestration and enterprise AI integration patterns.
• Define enterprise AI operational models, observability, and AI lifecycle management standards.
• Collaborate with engineering teams on AI implementation strategies and platform scalability.

Security, Compliance & Responsible AI

• Ensure AI platforms comply with enterprise security, privacy, accessibility, and regulatory standards.
• Implement governance frameworks supporting Responsible AI, explainability, fairness, and observability.
• Architect secure identity, SSO, RBAC, and enterprise access-control models.

Enterprise Integrations & Data Architecture

• Design integration architectures across enterprise systems including:
  • ERP
  • CRM
  • SIS
  • LMS
  • APIs
  • Enterprise Data Platforms
  • Identity Providers
• Establish secure data pipelines, AI data ingestion frameworks, and enterprise connectivity models.
• Partner with data engineering teams to optimize AI-ready enterprise data ecosystems.

AI Platform Operations & MLOps

• Define enterprise MLOps standards and AI operational governance.
• Establish CI/CD pipelines, model monitoring, retraining strategies, and deployment automation.
• Ensure operational readiness, resiliency, scalability, and cost optimization across AI services.

Technical Leadership & Consulting

• Serve as a trusted advisor to executive leadership, stakeholders, and delivery teams.
• Lead architecture reviews, solution governance, technical risk assessments, and modernization roadmaps.
• Mentor architects, engineers, and development teams across enterprise AI initiatives.
• Support pre-sales, client workshops, architecture strategy sessions, and enterprise transformation initiatives.

Required Qualifications

Required Experience

• 12+ years of experience in enterprise architecture, solution architecture, or cloud architecture roles.
• Strong hands-on experience with Microsoft Azure cloud ecosystems.
• Deep expertise designing enterprise AI and Generative AI platforms.
• Proven experience implementing scalable cloud-native architectures and enterprise integration solut