Customer Engineer II

Microsoft • Redmond, WA

3d

About The Position

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, Data Science, Math, Business, or related field AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 2+ years of experience in software development, with a track record of delivering complex systems.
• 2+ years of experience Python and C# with experience in AI/ML and full stack development.
• Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.
• Master's Degree in Engineering, or related field AND 3+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR Bachelor's Degree in Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 8+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience.
• 2+ years of customer facing experience.
• 3+ years of experience of data structures, algorithms, system design, and distributed computing.
• 3+ years of experience with cloud platforms (Azure, Google Cloud, AWS, etc.) and microservices architecture.
• Experience with CI/CD pipelines, DevOps practices, and container orchestration (e.g., Kubernetes).

Nice To Haves

• Expertise in synthetic data generation, simulation environments, and AI evaluation frameworks.
• Proven leadership in driving technical initiatives and mentoring engineering teams.
• Problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees