Microsoft Azure AI foundry

Cloudxtreme; Indore District, Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Cloudxtreme seeks an experienced Azure AI Foundry Architect/Tech Lead to drive secure, scalable AI governance and deployment across enterprise projects. You will lead design, orchestration, and observability of AI pipelines while aligning with regulatory requirements and ethical principles.

You will collaborate with data scientists, engineers, and business stakeholders to deliver responsible AI solutions on Microsoft Azure, mentor teams, and enable organizational transformation through Azure AI

Qualifications

• Experience with Microsoft Azure AI Foundry and Agentic AI Architecture.
• Strong governance, observability, and compliance knowledge for AI projects.
• Hands-on experience in designing and deploying AI pipelines on Azure.

Responsibilities

• Serve as Architect for Microsoft Azure AI Foundry and Agentic AI.
• Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.
• Collaborate with data scientists, engineers, architects, and stakeholders to drive AI adoption.
• Ensure AI workloads meet security, compliance, and governance requirements.
• Lead and mentor teams, ensuring high-quality delivery.
• Provide scalable solutions for multi-team AI initiatives across the enterprise.
• Facilitate workshops and training on Azure AI Foundry, orchestration, and governance.
• Monitor solution performance and optimize pipelines.

Skills

Microsoft Azure AI Foundry

Agentic AI Architecture

Azure AI/ML technologies

Leadership

Education

15 years of full-time education

Tools

Azure Machine Learning

Cognitive Services

OpenAI

Synapse

Logic Apps

Job description

Role & responsibilities

Project Role : Responsible AI Tech Lead

Project Role Description : Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption.

Must have skills : Microsoft Azure AI foundry

Good to have skills : NA

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary: As an Azure AI Foundry Architect/ Tech Lead, you will lead the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. Acting as a Subject Matter Expert (SME), you will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsofts AI ecosystem.

Roles & Responsibilities

• Serve as the Architect for Microsoft Azure AI Foundry and Agentic AI .
• Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry.
• Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption.
• Ensure AI workloads meet enterprise security, compliance, and governance requirements.
• Lead and mentor teams, ensuring accountability and high-quality delivery.
• Partner with cross-functional teams to make key architecture and solution design decisions.
• Provide scalable solutions for multi-team AI initiatives across the enterprise.
• Facilitate workshops and training to upskill teams on Azure AI Foundry, orchestration, and governance.
• Monitor solution performance, optimize pipelines, and align outcomes with business goals.

Professional & Technical Skills

• Proven expertise in Microsoft Azure AI Foundry and Agentic AI Architecture (minimum 4 years hands-on experience in Azure AI/ML technologies)
• Strong understanding of AI governance, observability, and compliance frameworks.
• Experience designing and deploying AI pipelines on Microsoft Azure.
• Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.).
• Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency.
• Strong leadership and stakeholder engagement skills.
• Familiarity with regulatory requirements for enterprise AI adoption.

Additional Information

• The candidate should have minimum 5 years of experience in Microsoft Azure PaaS, minimum 4 years hands-on experience in Azure AI/ML technologies
• A 15 years full time education is required.