Senior Engineer - Enterprise AI & Cloud Platforms (Azure &M365)

• Hybrid Identity & Directory Services

  • Manage Hybrid Active Directory and Entra ID environments.
  • Integrate enterprise applications using SAML, OAuth 2.0, OpenID Connect (OIDC), and Single Sign-On (SSO) technologies.
  • Implement and maintain Multifactor Authentication (MFA) and Conditional Access policies.
  • Troubleshoot authentication, authorization, and identity-related issues.

• Azure Cloud Operations

  • Monitor and maintain Azure services for performance, availability, and reliability.
  • Troubleshoot cloud issues with minimal business impact.
  • Govern Azure resources and ensure compliance with security and regulatory standards.

• Microsoft 365 Administration

  • Administer Exchange Online, including mailboxes, mail flow, distribution groups, and compliance policies.
  • Manage SharePoint Online and OneDrive for Business environments, permissions, and collaboration services.
  • Administer Microsoft Teams, including governance, policies, guest access, and adoption initiatives.
  • Support Microsoft 365 security, compliance, and Copilot-related capabilities.

• Security & Compliance

  • Enforce security controls and policies across Microsoft 365 and Azure.
  • Conduct periodic security reviews and audits.

• End‑User & Operational Support

  • Provide Level 2/3 support for Microsoft 365 and Azure services.
  • Act as a technical escalation point and subject matter expert.

• On‑Premises Infrastructure Administration

  • Oversee Windows and Linux/Unix servers to ensure availability, performance, and stability.
  • Manage on‑prem infrastructure including compute, storage & backup.
  • Implement system hardening, patching, access control, monitoring, and capacity planning.

• Vendor, Project & Stakeholder Management

  • Manage vendors to ensure SLA, KPI, security, and contractual compliance.
  • End‑to‑end delivery of infrastructure and cloud projects.

• Delivery and Governance

  • Oversee the end-to-end lifecycle of AI solutions:
  • Establish best practices, frameworks, and reusable assets.
  • Ensure compliance with enterprise governance, data privacy, and AI ethics policies.

• AI Platform Engineering & Execution

  • Develop and deliver solutions leveraging:
    • Azure OpenAI Service
    • Azure AI Services and Cognitive Services
    • Azure Machine Learning
    • Azure AI Studio
    • Microsoft 365 Copilot
    • Microsoft Graph APIs
    • Copilot extensibility, plugins, agents, and custom solutions
    • Enterprise automation and workflow orchestration technologies
  • Responsibilities include:
    • Developing and integrating AI-driven business solutions.
    • Conducting experiments, pilot programs, and solution validation activities.
    • Monitoring AI solution performance, adoption, and business impact.
    • Collaborating with cross-functional teams to scale successful AI initiatives across the enterprise.
    • Drive experimentation (POCs, pilots) and scale successful solutions.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.

• 7+ years of experience in Microsoft infrastructure, Azure, and Microsoft 365 environments.

• 3+ years of experience delivering enterprise AI, machine learning, or Generative AI solutions.

• Hands-on experience with Azure OpenAI, Azure AI Services, Azure Machine Learning, and Microsoft 365 Copilot.

• Strong experience with Entra ID, Hybrid Active Directory, SSO, MFA, and identity federation technologies.

• Experience managing enterprise-scale Microsoft 365 and Azure environments.

• Knowledge of cloud security, governance, compliance, and data privacy principles.

• Strong stakeholder management, communication, and problem-solving skills.

​Preferred:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Cybersecurity Architect Expert
• Experience with Power Platform, Power Automate, and Copilot Studio.
• Experience with Python, PowerShell, REST APIs, Microsoft Graph, and automation frameworks.
• Knowledge of Responsible AI frameworks and AI governance models.

CORE SKILLS:

• Azure Architecture & Governance
• Microsoft 365 (Exchange, Teams, SharePoint, Intune)
• Cloud Migration & Modernization
• AI & Data Platforms (Azure AI, ML, OpenAI)
• DevOps & Platform Engineering
• Security & Compliance (Zero Trust, IAM, Defender)
• Infrastructure as Code (Bicep, Terraform)
• CI/CD (GitHub Actions, Azure DevOps)
• Enterprise Architecture & Solution Design
• Stakeholder & Leadership Management