Azure AI Engineer responsible for enabling the design and deployment of scalable, secure, and
governed AI solutions across the enterprise using Azure AI Foundry and related technologies. The
role focuses on driving responsible AI adoption through strong data governance, agent
orchestration, and workflow automation, while ensuring reliability and compliance through
structured validation practices such as TEVV and red teaming, ultimately delivering reusable, highimpact AI solutions aligned with business and enterprise standards.
Key responsibilities
• Design and implement AI solutions using Azure AI Foundry, including agent orchestration,
governance, and guardrail setup.
• Build reusable, modular agent architectures using the Microsoft Autogen framework.
• Manage data governance in Databricks, including data ownership, schema design, and
access control.
• Develop and integrate workflows using Azure Logic Apps, Durable Workflows, and Power
Automate.
• Apply TEVV frameworks and conduct red teaming to ensure secure, reliable, and compliant
AI systems.
• Utilize approved tools like GitHub Copilot and collaborate with teams to align solutions with
enterprise standards.
Essential Knowledge
• Minimum 5 years of overall experience, including at least 2 years in AI
• Strong understanding of Azure AI Foundry, including agent orchestration, governance, and
guardrail implementation
• Experience with Databricks for data ownership, schema management, permissions, and
enterprise governance
• Proficiency in Microsoft Autogen framework and multi-agent architecture design
• Hands-on experience with Azure Logic Apps, Durable Workflows, and Power Automate for
workflow automation
• Knowledge of TEVV (Test, Evaluate, Verify, Validate) framework and red teaming practices
within Azure AI environments
• Familiarity with reusable, modular agent architecture and scalable design principles
• Experience using GitHub Copilot or similar approved development tools
Desirable Experience & Attributes
• Exposure to scaling AI solutions across multiple business use cases within enterprise
environments
• Experience applying governance, validation, or security practices in real-world AI
implementations
• Ability to design reusable solutions with a focus on efficiency, optimization, and continuous
improvement
Qualifications / Professional Certifications required
Essential:
• Bachelor’s degree in a relevant field (preferred)