Job Description

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 Requirements

    Azure 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 Requirements

    Preferred 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.).

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