This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Engineering Ops ACES (EngOps) team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and 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, our customers stake their business and reputation on our cloud. You can help Azure EngOps provide our customers with the world-class cloud services they need to succeed.
Job Responsibility:
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
Requirements:
Bachelor’s degree in computer science, Engineering, or related field
4+ 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
Nice to have:
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