Microsoft Azure AI foundry

Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features manage releases and ensure system stability. Use standard tools APIs and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Microsoft Azure AI foundry
Good to have skills : Microsoft Azure OpenAI Service Microsoft Azure Machine Learning
Minimum 7.5 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 Microsoft s 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 5 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 7 years of experience in Microsoft Azure PaaS minimum 5 years hands-on experience in Azure AI/ML technologies
A 15 years full time education is required.