AI Engineer Jobs at Microsoft with Visa Sponsorship
AI Engineer jobs at Microsoft build large-scale systems work, from foundation model development to production inference infrastructure. The company has a long track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates with strong ML and systems engineering backgrounds.
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AI Data Engineer (Contract)
Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.
Summary
We are looking for a skilled and innovative AI Data Engineer to join a team focused on modernizing how roadmap and portfolio data is managed, automated, and reported. In this role, you will leverage artificial intelligence and automation to streamline complex workflows across multiple platforms, eliminate manual data processes, and replace static slide- and spreadsheet-based reporting with dynamic, live dashboards. You will serve as a key contributor in building a governed single source of truth for hardware planning data, enabling smarter decision-making through AI-enabled solutions and real-time business intelligence.
Job Responsibilities:
- Assess current workflows, baseline manual effort, and prioritize automation opportunities by impact using AI-driven approaches
- Integrate data from multiple platforms and cross-organization databases into a governed single source of truth with automated refresh and data-quality checks
- Build, maintain, and troubleshoot Power BI dashboards to replace manual reporting processes
- Develop and deploy AI use cases including change summaries, data reconciliation, natural-language Q&A, and report automation
- Aggregate and manage data across SharePoint, Azure DevOps, Excel, and cross-organizational systems
- Document solutions, train end users, and report measurable impact including hours saved, cycle-time reduction, and data quality improvements
- Translate business needs into technical solutions and executive-ready visualizations
Requirements
- 4+ years of experience in data engineering, business intelligence, or analytics automation
- 2+ years of experience building and deploying production generative AI solutions in an enterprise environment
- Demonstrated track record of implementing AI use cases to optimize workflows and improve operational efficiency
- Previous experience in a large enterprise or technology environment is strongly preferred
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience
- Microsoft certifications in Power BI, Fabric, Power Platform, or Azure AI are preferred
- Expert-level Power BI including data modeling, DAX, Power Query (M), deployment, refresh management, and row-level security
- Proficiency with Azure DevOps queries, Analytics/OData, and REST APIs
- Hands-on experience with Power Automate, SharePoint Online, and the broader Microsoft Power Platform including Power Apps
- Production-level experience building generative AI solutions using tools such as Copilot Studio, Azure OpenAI, AI Builder, or Microsoft 365 Copilot
- Strong proficiency in SQL, Python, and advanced Excel
- Experience aggregating and reconciling data across multiple enterprise platforms and systems
- Clear and effective communication skills with the ability to present complex technical concepts to non-technical stakeholders
- Familiarity with Microsoft Fabric, Dataverse, KQL, Power Platform ALM, and Git is a plus
- Experience with hardware, supply-chain, or product roadmap and portfolio data is a plus
Additional Details:
- Location: Remote
- Duration: 7 months
- Pay Range*: $46.50 - $52.50 per hour
- Weekly Schedule: 40 hours
- Job Status: Non-Exempt
- Application Deadline: Apply within 72 hours of the posting date to ensure consideration.
This role is eligible for the following benefits:
- Medical, dental & vision
- Hospital plans
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
- Company paid short and long-term disability
- Health & Dependent Care Spending Accounts (HSA & DCFSA)
- Employee Assistance Program
- Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)
Benefits are subject to change and may be subject to specific elections, plan, or program terms.
AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you require a reasonable accommodation related to the application or interview process due to a disability, please email accommodation@allegisglobalsolutions.com. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.
In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.
Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.
We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
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Get Access To All JobsTips for Finding AI Engineer Jobs at Microsoft
Align your portfolio to Microsoft's AI stack
Microsoft's AI engineering roles frequently involve Azure OpenAI Service, PyTorch, and large-scale distributed training. Tailor your GitHub projects and resume to reflect experience with these tools before applying, as role-fit signals matter during initial screening.
Target teams with active LCA filings
Before you apply, search DOL's FLAG system for Microsoft's Labor Condition Applications filtered to AI and machine learning job titles. Active LCA filings signal which specific teams are currently hiring sponsored roles, letting you prioritize those positions.
Distinguish between H-1B and E-3 eligibility early
If you're an Australian citizen, clarify your E-3 eligibility before the offer stage. Microsoft sponsors both, but the filing process and timelines differ. Raising this with your recruiter early prevents delays when the offer comes through.
Use Migrate Mate to surface sponsorship-confirmed openings
Many Microsoft AI Engineer postings don't explicitly state visa sponsorship availability. Use Migrate Mate to filter for roles at Microsoft that have a confirmed sponsorship track record, so you're not guessing from a generic job description.
Prepare your specialty occupation documentation now
USCIS requires H-1B petitions to establish that an AI Engineer role qualifies as a specialty occupation. Gather your degree transcripts, any advanced coursework in machine learning or computer science, and publication or project records before your employer initiates filing.
Account for H-1B cap timing in your start date negotiation
If you're cap-subject, the earliest H-1B employment start date is October 1. When negotiating your offer, build this into your proposed start date to avoid gaps, especially if you're currently on OPT and approaching your authorization expiry.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for AI Engineers?
Yes, Microsoft sponsors H-1B visas for AI Engineer roles. The company files both cap-subject and cap-exempt petitions depending on the candidate's situation. If you're already on H-1B with another employer, Microsoft can file an H-1B transfer, which lets you start work as soon as USCIS receives the petition rather than waiting for approval.
How do I apply for AI Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal, where AI Engineer roles are listed under the Engineering and Software job family. Filter by location and job title to find active openings. To identify roles where sponsorship is actively being offered, Migrate Mate surfaces Microsoft AI Engineer positions with a confirmed visa sponsorship track record, saving you from applying blind.
Which visa types does Microsoft commonly sponsor for AI Engineer roles?
Microsoft sponsors H-1B visas for the broadest pool of international AI Engineers. Australian citizens can pursue the E-3 visa, which has no lottery and a faster processing path. For candidates on employer-sponsored Green Card tracks, Microsoft supports EB-2 and EB-3 categories through PERM labor certification, typically initiated after a candidate has been in role for a defined period.
What qualifications does Microsoft expect for AI Engineer roles?
Most AI Engineer openings at Microsoft expect a bachelor's or master's degree in computer science, electrical engineering, or a closely related field, with hands-on experience in machine learning frameworks such as PyTorch or TensorFlow. Roles closer to foundation model work increasingly expect familiarity with distributed training, RLHF pipelines, or inference optimization. A strong portfolio demonstrating production-scale ML systems strengthens your application significantly.
How do I understand the visa filing timeline after receiving an offer from Microsoft?
After accepting an offer, Microsoft's immigration team typically engages an outside counsel to manage the petition. For H-1B transfers or E-3 visa cases, USCIS processing runs roughly three to six months standard or two to three weeks with premium processing. If you're cap-subject and the offer comes outside the April registration window, your start date will be October 1 of the following fiscal year.