Overview:

As a Forward Deployed Engineer II (FDE II) in the Microsoft 365 Growth + Incubation engineering team, you will work hands-on with customers and partners to accelerate the adoption of Copilot solutions.

In this role, you will engage in complex and ambiguous technical scenarios where existing guidance may be incomplete, applying strong engineering and architectural judgment to help customers and partners design secure, scalable, and effective agentic solutions. Your work will center on unblocking technical friction, validating design decisions, and enabling sustained adoption.

You will apply software engineering and systems architecture skills to guide technical decision-making, explore design tradeoffs, and validate approaches through hands-on experimentation, proof-of-concept work, and example implementations. You will work closely with customer and partner engineering teams to accelerate learning, contribute to reference architectures and reusable design patterns, and ensure solutions align with Microsoft best practices, security expectations, and Responsible AI requirements.

You will join a collaborative engineering team within the Microsoft 365 Growth & Incubation organization, working in a One Microsoft model across product, engineering, and field teams. The team culture values curiosity, accountability, and continuous learning, and provides opportunities to grow technical depth and influence over time.

This position is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home. Relocation assistance is available.

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.

• Responsibilities- Contribute to solution architecture for agent-based Copilot solutions, supporting discovery, design, and deployment readiness under guidance from senior engineers
• Assist in developing reference architectures, extensibility frameworks, and reusable design templates, contributing technical input and implementation examples
• Work alongside customer and partner developers during sprints, shadow build cycles, and design reviews to learn patterns and help unblock technical issues
• Write, review, and validate code in support of proofs of concept, reference implementations, and architectural validation
• Support structured validation and user acceptance activities, helping gather technical findings and feedback from customer and partner environments
• Identify integration challenges and implementation risks, escalating findings and proposing solutions with guidance
• Learn and apply best practices for security, reliability, and scalability in enterprise agent-based solutions

Qualifications Required Qualifications:

• Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 2+ years experience in engineering, product/technical program management, data analysis, or product developmentOR equivalent experience.

Preferred Qualifications:

• Demonstrated ability to design and reason about distributed, enterprise-grade systems, including integrations across cloud, data, and application layers
• Hands-on engineering experience, with the ability to write, review, and reason about code to validate designs and resolve complex technical problems
• Demonstrated ability to translate customer business requirements into secure, scalable technical architectures
• Experience working directly with customers or partners on complex technical problems in a delivery, advisory, or enablement capacity
• Ability to lead technical discussions with both senior technical and business stakeholders
• Experience working with Microsoft 365 Copilot, Copilot extensibility, or adjacent Microsoft AI platforms
• Experience building, extending, or enabling Copilot agents or agent-based solutions, or comparable AI-driven systems
• Familiarity with agent-based system design, including orchestration patterns or grounding approaches
• Experience producing reference architectures, reusable patterns, or technical playbooks
• Hands-on experience building or validating proofs of concept, reference implementations, or technical prototypes
• Experience supporting or enabling partner ecosystems such as GSIs, SIs, or ISVs
• Experience collaborating closely with product management and product engineering teams, contributing technical input and customer or partner learnings
• Exposure to enterprise-scale AI or data-driven systems, including performance, reliability, or operational considerations

#DPG #G+E

Customer Experience Program Mgmt 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.