Do you enjoy working with AI Native Startups, Software Development Companies (SDC) and Microsoft's biggest AI Partners to achieve their business outcomes? This team is at the leading edge of Microsoft's Artificial Intelligence (AI)/Data innovations and one of the fastest growing groups in the company. We operate like a startup with an entrepreneurial, high-performance mindset, but remain grounded in our shared cultural priorities: Diversity and Inclusivity, Wellbeing, Sustainability, and Learning. This is a unique opportunity for a strategic deep AI technologist to win and execute deals that drive significant publicity, competitive share, and revenue for the Microsoft Azure Cloud platform. Leaders across Microsoft are making an incredible commitment to this initiative and we are rapidly scaling this program, looking for new talent to join our expanding team. If you have been described as customer obsessed and technically intense, we invite you to apply today!

Microsoft is revolutionizing customer experiences by leveraging AI to address challenges by enhancing AI innovations. You will play a pivotal part, guiding customers and Microsoft strategic AI partners through AI's potential to solve problems, boost efficiency, and drive innovation. By staying abreast of AI cutting edge advancements and fostering collaborative relationships, Digital Solution Engineers ensure customers fully harness AI's transformative power for actionable insights and industry success.

As a Microsoft Senior Digital Solution Engineer (DSE) for Microsoft's Agentic Solutions, Azure AI, Data, and Apps innovations, you will be tasked with winning the technical decision of customers to purchase and use our technology. The Senior DSE is expected to be able to both own and win customers’ technical decisions and ensure their success with our platforms, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a Senior DSE, you work within a virtual team of technical, commercial, partner and consulting resources to help educate AI Native startups, SDCs and AI Partners at deep technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical skills across Microsoft and non-Microsoft cloud-based technologies.

Job Location: This role is in Mountain View, CA, Los Angeles, CA, San Diego, CA, San Francisco, CA, Seattle, WA, Redmond, WA, Las Colinas, TX, Austin, TX, Atlanta, GA, Chicago, IL, New York City, NY, or Boston, MA. This role is flexible in that you can work up to 50% from home.

In Industry, Partner and Sales (IPS), we have set out to empower our customers through the unique value of the Microsoft cloud by building a globally led, digital-first-scale organization aligned with Microsoft AI partners. Dedicated to one of the fastest growing customer segments, the organization is on pace to be Microsoft's next $100 billion-dollar business - this is where you come in. As part of local subsidiaries or Digital Sales centers around the world, you will support a dedicated set of customers in identifying and achieving their business objectives through best-in-class digital engagement and partner co-selling.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

• Proactively own technical leadership and discussions with AI Natives Startups, SDCs and IPS' AI Partners leveraging Microsoft AI Foundry Frameworks, AI Agents, AI Models and AI tools to showcase demos, Proof of Concepts (POC), and Minimal Viable Products (MVPs) using consultative sales methodology and technical skills to influence the AI Native Startups/SDCs and AI Partners vision; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams

• Proactively build technical strategy: map the agreed AI Native Startups/SDCs and AI Partners vision into a strategy, resolve concerns, preventing and removing technical blockers and validating a valid business case for investment and translated technology complexity into business impact

• Work with AI Native Startups/SDCs and AI Partners' account teams, and GTM partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Intelligent AI, Data and Analytics platform and win the AI Design, inclusive of Microsoft AI, Application services, Databases and Infrastructure

• Design AI Agentic solutions with orchestration of multi-Agents standards & protocols while utilizing AI architectural patterns and Microsoft Agentic frameworks, while using consultancy skills and our methodology to win a Startup/SDC technical decision and meet their needs

• Lead and execute application management, deployment, scalability, and orchestration of containerized solutions using technologies such as Azure Container Apps, Azure Kubernetes Service (AKS), Azure Functions, Docker, and cloud-native architectures. Apply experience to ensure robust and efficient container operations across environments.

• Drive application integration and modernization initiatives, including re-factoring, re-architecting, and re-building legacy systems. Leverage Microsoft’s AI and Agentic platforms, products, and frameworks to deliver intelligent, scalable, and future-ready solutions.

• Drive Proof of Concepts (POCs) and Pilots to create momentum for Minimal Viable Products (MVPs), infusing key AI technologies where appropriate and being technically proficient to do POC with skills. Presentation skills are required to present AI Agentic solutions and win technical decisions.

• Proactively enables cross collaboration across teams to drive AI Design Wins and support the startup/SDC AI transformation inclusive of AI Agentic Applications and data foundation. Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customer engagement and hand off to the Digital Account Executive for pursuit.

• Be the trusted advisor and use proactive effort to find and understand the Startup/SDC’s pain points and work with Microsoft partners to design and offer solutions (with business case) to technical leaders by building Microsoft Intelligent Agents, Microsoft Fabric, Data and Analytics platform evangelist inclusive of new innovative Agents solutions and Data and Analytics projects, modernizing legacy Data Warehouse to the cloud, new Modern Data Warehousing deployments, real-time analytics, and end to end Data, Analytics and Agentic AI solutions.

• Be the Voice of Customer (VOC) to share insights and best practices with Engineering, to remove key blockers and drive product improvements.

• Understanding the basic knowledge of Azure security principles and practices, have extensive experience in implementing and managing security measures within Azure environments. Understanding of identity and access management in Azure and familiarity with scripting and automation tools for security processes. Stay current with the latest Azure security trends, tools, and best practices.

• Embody our Culture & Values

Required/minimum qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years experience in programming and software development languages, platforms and libraries (e.g. Azure AI Foundry, ML Studio, GitHub, CoPilot Studio, VS Code, Python, Tensor Flow, and relevant competitors' platforms) with design, development and deployment of AI Agentic Solutions and AI Apps solving customer problems cultivating business value creation, or related
  • OR equivalent experience.

• 2+ years experience working with AI models & LLMs (large language models) including deep understanding of end to end development lifecycles of LLM processes like AI Ops, LLMOps, data consolidation, cleansing & preparation, algorithm selection, model/LLM design & architecture, development, testing, training, fine tuning, inferencing, distillation and responsible AI and ethical principles, or related experience.

• 1+ year(s) experience building AI Agents with understanding of MCP (Model Context Protocol) & A2A (Agent2Agent) protocols and emphasis on AI Agents & AI Apps development, multi agent orchestrations solving business workflow solutions, Agentic AI solutions, Agentic AI App integrations.

• 4+ years experience with App management, deployment, scalability and orchestration of containers utilizing containerization technology and services like: Azure Container Apps, Azure Kubernetes Service, Azure Functions, Dockers, Cloud Native Architecture, or related.

• 4+ years experience with Application Integrations and modernizations (re-Factoring, re-Architecting, Re-Building) utilizing Microsoft's AI and Agentic platforms, products and frameworks.

Additional or Preferred Qualifications

• 4+ years Microsoft Azure Cloud Solution Architect (CSA) experience with Microsoft Certified: Azure Solutions Architect Expert Certification (preferred) and relevant certifications from Microsoft or competitive platforms

• 4+ years' experience of developing and delivering Proof of Concepts (PoC)/Pilots, workshops, hackathons, Minimal Viable Products (MVPS) and organizing/leading customer events for customers with presentation skills ​which lead to Azure cloud production deployments and migrations creating value realizations

• Experience with West Coast / Silicon Valley AI Natives, Digital Startups and SDC industry is required.

• Experience working in a fast pace and agile pre sales organizations to collaborate with accounts teams to win customers technical decisions

• 4+ years experience with Azure Migrations planning and execution, Azure Core Design & Infrastructure, Azure Security, Azure Networking, Azure and/or AWS/GCP Infrastructure, apps, databases, architecture designs, migrations, industry standards, and/or technology solution design and cloud and hybrid, or on premises database infrastructures, architecture designs, and industry standards

• Cross organizational and functional collaboration skills to drive the optimal solution for the customer needs

• Demonstratable experience with cloud and hybrid, or on premises Agentic AI, Apps, database infrastructures, architecture designs, migrations, industry standards, and/or technology management.

• Certification in relevant (Microsoft or industry) technologies or disciplines (e.g., Azure Architect and Development exams, Cloud Platform Technologies, Azure Data & AI, Information Security, Architecture). Azure Certifications examples include:
  • Azure Administrator Associate (AZ-104), Designing Microsoft Azure Infrastructure Solutions (AZ-305), Azure Data Engineer Associate (DP 203) or Azure AI Engineer Associate (AI-102) or Enterprise Data Analyst Associate (DP 600) or Azure Cosmos DB Developer Specialty (DP 420) or Fabric Analytics Engineering Associate (DP- 600).

• Knowledge of AI platforms (AWS, Google, IBM, and Oracle) with Certifications such as Google Cloud Professional ML Engineer, AWS Certified Machine Learning, or IBM certified Data Science professional.

• Understands Database Platforms such as Microsoft Azure SQL Database, Cosmos DB, PostgreSQL, MongoDB, Oracle, MySQL, Redis, Elasticsearch, IBM Db2, Snowflake, Cassandra DB, Maria DB, or related.

• Maintain and grow experience in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.

• Understanding of Analytics Platforms such as Fabric, Azure Databricks, Snowflake, real-time analytics, Power BI OR experience working with the respective products.
• 3+ years programming experience (Scala, Python, Ruby, SQL, C# etc.)

Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $51.15 - $97.88 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $66.15 - $107.02 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 31, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.