Cloud and AI Solution Engineer - AI Data Platform
Job Description
Microsoft's US Public Sector Industries DIB Team is seeking a Cloud & AI Solution Engineer specializing in AI Data Platform solutions. This role is part of the newly formed Defense Industrial Base (DIB) Operating Unit, focused on consolidating and accelerating Microsoft's presence across the DIB landscape, which includes over 100,000 organizations in manufacturing, aviation, cybersecurity, and more.
As a Data Platform Solution Engineer, you'll play a crucial role in helping enterprises maximize the potential of Microsoft's cloud AI, database, and analytics stack. You'll work directly with engineering leaders and platform teams, conducting hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. The position requires deep technical expertise in Microsoft's Analytics Portfolio, including Microsoft Fabric, Azure Databricks, Purview Data Governance, and Azure Databases.
The role offers significant opportunity for career growth, combining technical excellence with business acumen. You'll guide customers through secure, scalable solution design while influencing technical decisions and accelerating database and analytics migration. The position requires 25-50% travel and offers a flexible work arrangement with up to 100% work from home capability.
This is an ideal opportunity for someone passionate about data platforms and AI who wants to work at the intersection of technology and business strategy. You'll be part of a team that's driving digital transformation across critical defense and intelligence sectors while having access to Microsoft's industry-leading benefits package and professional development resources.
The compensation is competitive, with a base pay range of $85,100 - $169,800 per year (higher in SF Bay Area and NYC), plus additional benefits and compensation opportunities. The role requires US citizenship and the ability to pass security clearances, making it perfect for someone looking to make a significant impact in the defense technology sector.
Responsibilities For Cloud and AI Solution Engineer - AI Data Platform
- Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
- Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft's cloud platforms
- Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
- Resolve technical blockers and objections, collaborating with engineering to share insights and improve products
- Maintain deep expertise in Analytics Portfolio: Microsoft Fabric, Azure Databricks, and Azure Databases
- Maintain expertise in on-prem EDW solutions
- Represent Microsoft through thought leadership in cloud Database & Analytics communities
Requirements For Cloud and AI Solution Engineer - AI Data Platform
- Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience
- 1+ years experience designing and implementing solutions leveraging Data and Analytics Platform services
- Working knowledge and application of Zero Trust Principles
- U.S. citizenship required
- Must pass Microsoft Cloud background check
Benefits For Cloud and AI Solution Engineer - AI Data Platform
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
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