微软Regional DC Ops AI Solutions Lead

任职要求

Required Qualifications

High School Qualification or equivalent AND 6+ years' experience supporting IT equipment or related technology or delivering server and network deployment projects in large-scale environments OR equivalent experience.

Background Check Requirements: 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications

Bachelor's or Technical College Degree in Computer Science, Math, Telecommunications, Electrical/Mechanical Engineering, Supply Chain Management or related field AND 12+ years' experience in critical environment infrastructures (e.g., UPS, Generator, AHU), or working in physical IT infrastructures (e.g., Servers, SANs, Networking, Capacity, DC Rack/Enclosures, structured cabling) OR High School Qualification or equivalent AND 14+ years' experience in critical environment infrastructures (e.g., UPS, Generator, AHU), or working in physical IT infrastructures (e.g., Servers, SANs, Networking, Capacity, DC Rack/Enclosures, structured cabling) OR equivalent experience.

Applicable certifications: APICS/Inventory Control, CompTIA, Microsoft, Network Certifications, CCNA Certifications…

工作职责

OverviewAs a Microsoft Regional DC Ops AI Solutions Lead, serve as the technical authority and AI Subject Matter Expert (SME) for the APAC Data Center Operations (DC Ops) AI Board, leading the strategy, governance, architecture, deployment, and operationalization of AI-enabled solutions across APAC Data Center Operations. This job will allow you to build a strong understanding of demonstrate and further develop your expertise in datacenter services. It will also provide you with opportunities of working with teams across various geographies.

Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services.You will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development for all employees and offers trainings and growth opportunities including Career Rotation Programs, Diversity & Inclusion trainings and events, and professional certifications.

Our infrastructure is comprised of a large global portfolio of more than 200 data centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.

With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

ResponsibilitiesThis role aligns business priorities with a security-first culture and leverages AI technologies to improve operational efficiency, service delivery, safety, compliance, reliability, and business outcomes. The AI Solutions Lead oversees the end-to-end lifecycle of AI initiatives from opportunity identification through pilot execution, production deployment, adoption, governance, and continuous improvement while ensuring compliance with Microsoft security, privacy, safety, and Responsible AI standards.

The role partners closely with Operations, Engineering, Security, Compliance, Product Engineering, and business stakeholders to translate operational challenges into scalable AI solutions that deliver measurable value across Data Center Operations.

Key Responsibilities

 

AI Strategy, Governance & Technical Leadership

• Serve as the APAC DC Operations AI SME and trusted advisor, driving AI strategy, governance, architecture, and adoption across Data Center Operations.
• Identify opportunities to leverage AI, automation, and data-driven insights to improve operational efficiency, service delivery, reliability, safety, security, and business outcomes.
• Establish AI standards, governance frameworks, production readiness requirements, and operational support models aligned with Responsible AI, security, compliance, and Microsoft policies.
• Lead the end-to-end lifecycle of AI initiatives from opportunity assessment and solution design through deployment, adoption, and continuous improvement.
Data Center Operations

• Partner with Data Center Operations, Engineering, Security, Compliance, and business stakeholders to deliver scalable AI solutions that support operational objectives, compliance requirements, and security-first practices.
• Drive AI-enabled improvements in incident management, root cause analysis (RCA), operational troubleshooting, process optimization, and KPI/OKR performance.
• Support operational planning, risk mitigation, cost optimization, and continuous improvement initiatives across Data Center Operations. 
Data Center Work Environment

• Lead organizational change management and adoption activities to integrate AI capabilities into operational workflows.
• Collaborate across teams to anticipate operational changes, evaluate impacts, and implement scalable solutions that improve workforce productivity and operational effectiveness.
• Promote a culture of innovation, security, safety, compliance, and continuous learning across the organization.
Service Delivery & Stakeholder Leadership

• Drive cross-functional programs and partnerships to achieve service delivery objectives, operational KPIs, and business priorities.
• Analyze operational metrics, identify trends and risks, and recommend improvements to enhance customer experience, service quality, and operational resilience.
• Influence stakeholders, remove delivery obstacles, and ensure successful deployment and adoption of AI-driven solutions across the business