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Remote Microsoft Ai Jobs (NOW HIRING)

Globalchannelmanagement

Remote AI Architect

Boston, MA ยท Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns ...

CEI

Microsoft Dynamics Sales Director

Pittsburgh, PA ยท On-site +1

CEI - AI IT Solutions/Consulting and Professional Services Job Title : Microsoft Dynamics Sales & Partnerships Director Location : Hybrid in Pittsburgh, PA 15205 ( 3 Days On-Site / 2 Days Remote ...

SmartIPlace

AI Chatbot Developer[Remote]

Columbus, OH ยท Remote

Teams Remote, however, if there are any meetings or workshops they can be asked to report to Rhodes ... Responsibilities include: ยท Developing and maintaining Microsoft and Google AI applications ...

Apex Systems

MS Exchange Engineer

Atlanta, GA ยท Remote

Remote Rate: 60-70hr W2 (note the max is not guaranteed as this is commensurate on level of ... Experience with Microsoft AI tools (e.g., Copilot for Microsoft 365, Copilot Studio) Apex Systems ...

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How much do remote microsoft ai jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote microsoft ai in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Remote Microsoft AI professional?

A Remote Microsoft AI professional is someone who works with Microsoft's artificial intelligence tools and platforms, such as Azure AI, Power Platform, and Microsoft Cognitive Services, from a location outside of a traditional office. They may develop, deploy, and maintain AI-powered solutions, assist organizations in integrating AI into their workflows, or provide technical support for AI products. These roles often require expertise in AI, cloud computing, and programming, and allow for flexible work arrangements. Remote Microsoft AI professionals can work for Microsoft itself, its partners, or any business utilizing Microsoft's AI technologies.

What is the difference between Remote Microsoft Ai vs Remote Data Scientist?

AspectRemote Microsoft AiRemote Data Scientist
Required CredentialsMicrosoft certifications, AI/ML degreesStatistics, Data analysis, Python/R skills
Work EnvironmentTech companies, AI-focused teamsResearch labs, analytics departments
Industry UsageTechnology, software developmentFinance, healthcare, marketing
Common Search/ComparisonYesYes

Remote Microsoft Ai professionals focus on developing AI solutions using Microsoft tools and platforms, often requiring certifications like Azure AI Engineer. Remote Data Scientists analyze data to extract insights, typically with skills in statistics and programming. While both roles involve data and AI, Microsoft Ai roles are more platform-specific, whereas Data Scientists have broader analytical responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Microsoft AI Specialist, and why are they important?

To thrive as a Remote Microsoft AI Specialist, you need a solid background in computer science, machine learning, and data analytics, often supported by relevant degrees or certifications such as Microsoft Certified: Azure AI Engineer Associate. Proficiency with Microsoft Azure AI services, programming languages like Python, and tools such as Visual Studio Code and Power BI is essential. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for collaborating virtually and delivering solutions. These skills ensure the ability to design, implement, and support AI-driven applications that meet business needs in a remote work environment.

How does a Remote Microsoft AI specialist typically collaborate with cross-functional teams, and what tools are commonly used to ensure effective communication and project management?

A Remote Microsoft AI specialist often works closely with software developers, data engineers, product managers, and business analysts to design and deploy AI solutions. Collaboration is facilitated through tools like Microsoft Teams, Azure DevOps, and SharePoint, allowing for seamless communication, code sharing, and project tracking. Regular virtual meetings, sprint planning sessions, and shared documentation ensure everyone stays aligned despite physical distance. Building strong digital communication skills and being proactive about updates are essential for success in this remote, collaborative environment.
More about Remote Microsoft Ai jobs
What cities are hiring for Remote Microsoft Ai jobs? Cities with the most Remote Microsoft Ai job openings:
What are the most commonly searched types of Microsoft Ai jobs? The most popular types of Microsoft Ai jobs are:
What states have the most Remote Microsoft Ai jobs? States with the most job openings for Remote Microsoft Ai jobs include:
What job categories do people searching Remote Microsoft Ai jobs look for? The top searched job categories for Remote Microsoft Ai jobs are:
Remote Microsoft Ai jobs near you
Infographic showing various Remote Microsoft Ai job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Data and Analytics Technical Lead

Data and Analytics Technical Lead

Legrand North America

On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Position Description

Atย a Glance

Legrandย has an exciting opportunity for a Data and Analytics Technical Lead to join the Data Center Power and Control Division Team. This is a remote position. The Data and Analytics Technical Lead will drive the design, development, and maintenance of our enterprise data warehouse solutions. The ideal candidate will have deep expertise in SAP BW/4HANA, SAP Data Sphere, Power BI reporting, and data integrations with Salesforce and SQL Server environments, strong data modeling skills, and the ability to work closely with business stakeholders and offshore teams to deliver scalable reporting and analytics solutions. This role will also lead the migration from legacy SAP BW to SAP Datasphere and drive adoption of Microsoft Fabric, Azure Synapse, and Microsoft AI/Copilot capabilities within the analytics ecosystem.

What Will You Do?

Technical Leadership & Architecture:

  • Lead the design and development of SAP BW and Data Sphere data models, data flows, transformations, and queries.
  • Architect and maintain BW data models (InfoProviders, ADSOs, Composite Providers, Open ODS views, etc.).
  • Ensure optimal performance of data loads and reporting by following SAP best practices.
  • Guide integration between SAP BW and external systems such as Salesforce, SQL Server, Power BI, or other data lakes/warehouses.

Platform Migration & Modernization:

  • Lead the end-to-end migration from legacy SAP BW/BW4HANA to SAP Datasphere, including assessment, data model conversion, delta migration, and cutover planning.
  • Architect hybrid data flows connecting SAP Datasphere with Microsoft Fabric and Azure Synapse Analytics to enable unified analytics across SAP and non-SAP data domains.
  • Integrate Microsoft Copilot, Azure OpenAI, and AI Builder capabilities into reporting and analytics workflows to deliver intelligent, AI-augmented insights to business users.
  • Define and enforce data migration standards, validation frameworks, and reconciliation processes to ensure data integrity during and after platform transitions.

Project Delivery:

  • Manage BW-related deliverables across multiple projects from requirements through implementation.
  • Define technical solutions in collaboration with functional teams and enterprise architects.
  • Conduct code reviews and enforce technical standards and best practices.

Stakeholder Engagement:

  • Interact with business users to gather reporting and analytics requirements.
  • Translate business requirements into technical solutions within SAP BW.
  • Present prototypes and final deliverables to business and IT stakeholders.

Team Collaboration:

  • Lead and mentor offshore development teams; assign tasks and review deliverables.
  • Ensure timely execution and quality assurance of all development activities.
  • Serve as the escalation point for BW-related issues and performance challenges.
Qualifications

Required Skills

  • 7+ years of experience in: BW/4HANA
  • Strong expertise in:
    • InfoObjects, ADSOs, CompositeProviders, Open ODS Views, Transformations, DTPs, Process Chains
    • Query Designer / BW Queries / Analysis for Office
  • Proficient in ABAP for BW for custom logic, routines, and enhancements.
  • Experience integrating BW with SAP ECC, S/4HANA, Salesforce, and external databases (SQL Server, etc.).
  • Strong knowledge of data warehousing concepts and data modeling.
  • Experience with Power BI or other frontend tools connected to BW is a plus.
  • Strong analytical, debugging, and performance tuning skills.
  • Hands-on experience with SAP Datasphere or demonstrated experience migrating from SAP BW/BW4HANA to a modern SAP data platform.
  • Working knowledge of Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory for hybrid data warehouse and lakehouse architectures.
  • Familiarity with Microsoft Copilot for Power BI, Azure OpenAI Service, and AI Builder to embed AI-driven analytics and natural language querying into business reporting.

Preferred Qualifications

  • Exposure to Azure, SAP Datasphere, or cloud integration scenarios.
  • Experience with SAP BW-to-Datasphere migration tools and methodologies, including the use of SAP's migration cockpit and data migration objects.
  • Familiarity with Microsoft Purview for data governance and lineage across SAP and Microsoft platforms.
  • Understanding of generative AI and large language model (LLM) use cases applied to enterprise analytics, including natural language querying, automated insight generation, and AI-assisted data preparation.

Skills/Knowledge

  • Excellent communication and interpersonal skills
  • Strong leadership and mentoring capabilities
  • Ability to manage multiple priorities in a fast-paced environment
  • Proactive problem-solver with strong attention to detail
Company Info

About Legrand

Legrand is the global specialist in electrical and digital building infrastructures. Our comprehensive offering of solutions for residential, commercial, and data center markets makes us a benchmark for customers worldwide. We harness technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work, and meet with electrical and digital infrastructures and connected solutions that are simple, innovative, and sustainable. Legrand is a global, publicly traded company listed on the Euronext (Legrand SA EPA: LR). For more information, visit www.legrandgroup.com/en

About Legrand North and Central America

Legrand, North & Central America (LNCA) is a leader in the AV, Lighting & Controls, Electrical, and Data Center markets. LNCA offers comprehensive medical, dental, and vision coverage, as well as distinctive benefits like a high employer 401K match, paid time off (PTO) and holiday pay, short-term and long-term disability benefit plans, above-benchmark paid maternity and parental leave, bonus opportunities in accordance with the Company's incentive plans, paid time off to volunteer, and an active/growing Employee Resource Group network. For more information, visit legrand.usย 

About Legrand's Data Center Power and Control Division

The industry-leading brands of Approved Networks,ย Ortronics, Raritan, Server Technology, and Starline empower Legrand's Data, Power & Control to produce innovative solutions for data centers, building networks, and facility infrastructures. Our division designs, manufactures, and markets world-class products for a more productive and sustainable future. The exceptional reliability of our technologies results from decades of proven performance and a dedication to research and development.ย 

http://www.legrand.us

http://www.youtube.com/legrandna

http://www.linkedin.com/company/44580

http://twitter.com/legrandNA

Equal Opportunity Employer

Employment Type: OTHER

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