Principal Engineering Manager – AI Agents
Dublin, Ireland
Posted: Oct 14, 2025 • Job number: 1892619 • Work site: 3 days / week in-office • Travel: 0‑25% • Role type: People Manager • Profession: Software Engineering • Discipline: Software Engineering • Employment type: Full‑Time
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.
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. 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.
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
Deliver success through empowerment and accountability by modeling, coaching, and caring. Live our culture, embody our values, practice our leadership principles, define team objectives and outcomes, and enable success across boundaries.
Guide within the team and across teams on producing extensible, maintainable, well‑tested, secure, and performant code that adheres to design specifications, continually improving code performance, testability, maintainability, effectiveness, and cost while accounting for relevant trade‑offs.
Stay current with emerging research, tools, and frameworks in AI/ML to drive innovation.
Guide teams on and lead the identification of dependencies and incorporate 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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work: 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.
Microsoft is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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