Principal Engineering Manager - AI Agents
Microsoft
Principal Engineering Manager - AI Agents
Dublin, Ireland
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Overview
Would you like to work on a product that transforms Microsoft AI technologies and a modern-work suite to help millions of users work better and faster together? Do you enjoy working with teams that leverage AI to create fast and useful solutions for end-users?
The future of work is being redefined with AI agents acting as digital co-workers. Microsoft is leading this transformation with M365, Copilot Studio, and Azure AI Foundry. As part of this team, you will help build Agent Cloud— an enterprise-grade solution that secures, governs, and manages AI agents with the same rigor and familiarity as human employees.
As a Principal Engineering Manager, you will manage a team of Engineers and collaborate with a diverse multi-discipline, multi-site team to deliver end-to-end solutions and end user experiences across the M365 ecosystem. These experiences are built upon a highly scalable Azure service architecture, featuring a React-based UI that will delight our customers.
You can learn more about our Dublin Engineering site here:
https://careers.microsoft.com/v2/global/en/locations/dublin.html
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.
Qualifications
Required Qualifications
- Bachelor's degree in computer science, or related technical discipline
- Extensive experience coding in one or more high level languages including, but not limited to Python, C#, Java
- Experience managing a high performing Engineering Team and experience with cross team collaboration and stakeholder management
Preferred Qualifications
- Experience leading engineering teams in building customer-facing products, with a strong foundation in cloud-native architecture, microservices and agentic solutions
- Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry)
- Proficiency in Python for data science workflows, leveraging libraries such as NumPy, Pandas, scikit-learn, Matplotlib, and Jupyter for data analysis, experimentation, and rapid prototyping
- Experienced in web application development frameworks, such as React
- Experience delivering a Cloud SaaS product on Azure, AWS or GCP
- Experience with Microsoft 365 and Entra ID for identity and access management in enterprise environments
- Excellent communication and collaboration skills to work effectively across disciplines and partner teams
Other Requirements
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
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Responsibilities
Responsibilities
This role demands a blend of people management skills, artificial intelligence expertise and full-stack development skills to contribute to all phases of our product lifecycle, from conception to deployment. You'll partner with our product and design teams and other parts of the organization to deliver on the Agent Cloud vision.
- Manage a team implementing, evaluating, and deploying AI-powered applications and services
- Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries.
- Guides within team and across teams on producing extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs.
- Stay current with emerging research, tools, and frameworks in AI/ML to drive innovation.
- Guides teams on and leads identifying dependencies and incorporating them into the development of design documents for a product, application, service, or platform.
- Conduct experiments, analyze results, and communicate findings to both technical and non-technical stakeholders