Systems Architect (Azure AI Foundry)

Position: Systems Architect (Azure AI Foundry)
Location: Vadodara

We are seeking a highly experienced Systems Architect with deep expertise in Azure AI Foundry to lead the design and implementation of intelligent, scalable, and secure enterprise solutions. This role requires a strategic thinker with a strong technical foundation in AI/ML systems, cloud-native architecture, and enterprise integration. The ideal candidate will drive innovation, provide architectural leadership, and ensure alignment with business goals.

Principal Job Duties & Responsibilities

• Architect and lead the implementation of AI-powered solutions using Azure AI Foundry.
• Define and maintain the enterprise architecture roadmap with a focus on AI/ML integration.
• Collaborate with business and IT leadership to align technical strategies with organizational goals.
• Design scalable, secure, and resilient cloud-native systems on Azure.
• Establish architectural standards, governance models, and best practices.
• Evaluate and integrate emerging technologies, tools, and frameworks.
• Provide technical leadership and mentorship to development teams.
• Conduct architectural reviews and ensure adherence to design principles.
• Drive innovation through the exploration of AI, ML, and data-driven technologies.
• Ensure compliance with data privacy, cybersecurity, and regulatory standards.

• Proven experience with Azure AI Foundry and related services (Azure Machine Learning, Cognitive Services, etc.)
• Expertise in designing and deploying AI/ML models in production environments.
• Strong understanding of GenAIOps and MLOps, model lifecycle management, and responsible AI practices.

• Extensive experience and expertise in designing multi-agent systems and integrating them into enterprise workflows.
• Strong background in high-availability, disaster recovery, and performance optimization.
• Experience leveraging Azure’s model selection and cost-efficiency tools.

• Proficiency in C# .NET programming language.
• Experience with containerization (Docker) and orchestration (Kubernetes, Azure Kubernetes Service).
• Knowledge of DevOps practices and CI/CD pipelines.

• Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 2+ years of relevant experience in software architecture and systems design.
• Multiple technical certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate).
• Strong communication and leadership skills.
• Experience working in regulated industries and with compliance frameworks (SOC2, HIPAA, etc.).