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 ensurealignment 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.
Basic Job RequirementsAzure AI & Cloud Architecture 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.
Systems Architecture 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.
Development & Tooling Proficiency in C# .NET programming language.
Experience with containerization (Docker) and orchestration (Kubernetes, Azure Kubernetes Service).
Knowledge of DevOps practices and CI/CD pipelines.
Other Job RequirementsPreferred Qualifications
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.).