Customer Experience Engineer

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. 

Our team is at the heart of delivering scalable, resilient, and intelligent solutions that empower customer engineering teams across the organization. We are seeking a highly experienced and innovative Senior Customer Engineer with a strong development experience and focus on AI/ML, agentic systems, and full stack development to join the team. This role offers the opportunity to lead the development of next-generation intelligent platforms and contribute to the strategic direction of customer engineering for GSX and commercial businesses. The selected candidate will be mainly focusing on developing the agentic AI systems to transform Azure support.

Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. 

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.

• Architect, design, and implement scalable software solutions that support core ACES functionalities.
• Develop intelligent agentic systems capable of autonomous decision-making and task execution.
• Build and optimize AI agents using AI Foundry, Python, and reinforcement learning techniques.
• Develop full stack applications with a strong emphasis on backend services using C# and cloud-native technologies.
• Design and implement synthetic data generation pipelines to support training and evaluation of agentic models.
• Collaborate with product managers, researchers, and engineering teams to define technical requirements and deliver innovative solutions.
• Drive technical excellence through mentorship, code reviews, and adoption of best practices.
• Own the end-to-end lifecycle of software components, including design, development, testing, deployment, and maintenance.
• Contribute to architectural decisions, scalability strategies, and long-term technical vision.
• Evaluate and integrate emerging technologies to enhance platform capabilities.
• Ensure high standards of software quality, performance, and security.

Basic Qualifications:

• Bachelor’s degree in computer science, Engineering, or related field.
• 8+ years of experience in software development, with a strong track record of delivering complex systems.
• Proficiency in Python and C# with deep experience in AI/ML and full stack development.
• Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.
• Strong understanding of data structures, algorithms, system design, and distributed computing.
• Experience with cloud platforms (Azure) and microservices architecture.

Preferred Qualifications:

• Bachelor’s/master’s in computer science, AI, or related field.
• Experience with CI/CD pipelines, DevOps practices, and container orchestration (e.g., Kubernetes).
• Expertise in synthetic data generation, simulation environments, and AI evaluation frameworks.
• Proven leadership in driving technical initiatives and mentoring engineering teams.
• Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Customer Experience 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