The mission of Learning Product Team in Worldwide Learning (WWL) - is to develop world-class, innovative Skilling Products & Experiences that inspire customers, partners, Microsoft Customer and Partner Solutions (MCAPS) sellers, and future generations to achieve more by skilling, upskilling, and reskilling, thereby reaching 100M+ learners. Our culture is cantered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to welcome a new challenge each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
Within Learn product Engineering Team, we develop enterprise-grade platforms and features impacting millions of learners around the world who rely on Microsoft Skilling platforms for consuming the learning and skilling content across various across platforms.
This is an exciting time to join our group, Worldwide Learning Product Engineering (LPE), and work on a strategic initative at Microsoft. The goal of LPE is to build the next generation of Skilling platforms and applications running on Microsoft stack like Dynamics 365, Artificial Intelligence (AI), Copilot, and several other Microsoft cloud services to deliver value, complete, and Copilot-enabled application scenarios across all devices and form factors for our Commercial, Consumer and NextGen Learners. We innovate quickly and collaborate closely with our partners and customers in an agile, rapidly-changing environment. Leveraging the scalability and value from Azure, we ensure our solutions are robust and efficient. For instance, we will need to modernize Skilling content operations and reimagine release & update at scale to enable more efficient ways of consumption across Learn, YouTube, LinkedIn, Instagram and various other learning channels which will require deeper AI and machine learning (ML) skills.
The Agentic AI Workforce team is a specialized group within the LPE organization, dedicated to designing, deploying, and maintaining AI agents that enhance both learning platform experiences and business planning operations. This team will serve as a central hub for innovation in agentic automation, enabling scalable, intelligent support across a range of enterprise scenarios. By integrating advanced AI capabilities into learning journeys and planning workflows, the team will empower users with personalized, context-aware assistance while driving operational efficiency and strategic insight across the organization.
We are seeking a Software Engineer 2 to join our Agentic AI Workforce team. We are looking for somone with deep expertise in machine learning, long language model (LLM) integration, and agent orchestration. We are seeking a candidate who will lead the development of intelligent agents that power adaptive learning experiences and support business planning workflows. They will be responsible for designing scalable AI pipelines, integrating with enterprise data sources, and ensuring robust performance and security. This role also involves close collaboration with cross-functional teams and mentoring peers to drive innovation in agentic automation.
If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve problems for large scale enterprise business scenarios excite you, please come and talk to us!
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.
ML & AI Development
Scalable Model Deployment & Optimization
ML Architecture & Automation
Agent Protocols, Governance & Compliance
Agent Lifecycle Management
Human-AI Interaction & UX Alignment
Knowledge Management & Retrieval
Cross-Functional Collaboration & AI Strategy
Research, Innovation & AI Thought Leadership
Mentorship & AI Talent Development
Other
Required/minimum qualifications
Additional or preferred qualifications
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 and processes offers for these roles on an ongoing basis.
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.
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