Quick Summary
Key Responsibilities
Engineering & Delivery — Build, configure, and deliver solutions across M365 workloads (Exchange Online, Teams, SharePoint Online, OneDrive), Power Platform, and Azure AI services,
Requirements Summary
Proven track record p
Technical Tools
OtherEngineer
Responsibilities
~2 min read- →Engineering & Delivery — Build, configure, and deliver solutions across M365 workloads (Exchange Online, Teams, SharePoint Online, OneDrive), Power Platform, and Azure AI services, working within designs and standards set by the Architecture team.
- →Project & Migration Leadership — Plan and execute long-running, multi-phase projects end-to-end, including tenant and platform migrations, integrations, and modernization initiatives. Own project scope, sequencing, risk, and stakeholder communication from kickoff to close.
- →AI Enablement — Design, build, and deliver AI-enabled solutions across the Microsoft ecosystem using Copilot, Power Platform, and Azure AI Foundry; stay current with new Microsoft AI capabilities and evaluate them for enterprise adoption.
- →Power Platform & Azure AI Foundry Management — Administer and govern Power Platform environments (Power Apps, Power Automate), including environment strategy, DLP policies, and application lifecycle management. Manage Azure AI Foundry projects, model deployments, and usage governance.
- →Security & Compliance Implementation — Implement and maintain controls aligned to Conditional Access, MFA, DLP, and Microsoft Purview compliance requirements; partner with security teams on risk mitigation.
- →Documentation & Knowledge Management — Produce runbooks, standard operating procedures, and knowledge base content for engineering and support teams.
- →Stakeholder Leadership — Act as the delivery lead and point of escalation for engineering execution across M365, Power Platform, and Azure AI initiatives, and drive adoption of new capabilities across the organization.
Requirements
~1 min read- Microsoft 365 Administrator Expert (MS-102)
- Power Platform certification (PL-400 or PL-600)
- Azure AI Engineer Associate (AI-102) or equivalent Azure AI certification
- Security certification (SC-200 / SC-300 / SC-400) strongly preferred
- Experience with security tooling (Entra ID, Defender, Sentinel, Intune)
- Experience with financial compliance tools (Global Relay, Purview, Proofpoint)
- Exposure to hybrid Exchange environments
- Experience with Azure OpenAI Service or Azure Cognitive Services
- Experience with ServiceNow or similar ITSM tools
- 4 days' work from office
Location & Eligibility
Where is the job
Not specified
Location terms not specified
About this job
- Posted
- 763 days ago
Listing Details
- Posted
- October 6, 2024
- First seen
- October 6, 2026
- Last seen
- November 8, 2026
Posting Health
- Days active
- 32
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- November 8, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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