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
- 740 days ago
Listing Details
- Posted
- October 6, 2024
- First seen
- October 6, 2026
- Last seen
- October 16, 2026
Posting Health
- Days active
- 9
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- October 16, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
Newsletter
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
A
B
C
D
No spam. Unsubscribe at any time.