The Senior Applied AI Engineer will be part of the ACES CØDE engineering team at Microsoft, focusing on building AI-first systems that enhance Azure customer support and product quality. This role involves designing, building, and operating production AI services that address recurring customer issues and improve operational efficiency. The ideal candidate will leverage their Azure product knowledge and customer support experience to create scalable technical solutions. The position emphasizes collaboration across various teams to deliver measurable impact for Azure customers.

• Bachelor's Degree in Computer Science or related technical field.
• 4+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Analyze support-case trends and customer issue patterns to uncover recurring failure patterns.
• Design and build scalable agentic AI solutions for Azure diagnostics and documentation.
• Write, review, test, and maintain production-quality C# and Python code.
• Translate customer support scenarios and product requirements into technical designs.
• Develop evaluation frameworks using rubrics, golden datasets, and simulations.
• Ensure services meet requirements for correctness, reliability, and scalability.
• Apply privacy protections and implement secure AI patterns.
• Integrate with Azure data sources and APIs to ground agent responses.
• Implement CI/CD, automated testing, and monitoring for production services.
• Evaluate models and architectural options using experiments and production telemetry.
• Instrument solutions to improve automation quality and customer satisfaction.
• Lead design reviews and coordinate implementation across contributors.
• Mentor other engineers through code reviews and technical guidance.
• Collaborate with product managers, researchers, and support-domain experts.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.