Principal Corporate Technology Engineer (AI)

Location: Mountain View, New York City, Redmond, California, New York, Washington, United States

Base pay: USD $142,800–$274,800 per year across the U.S.; USD $188,000–$304,200 per year in the San Francisco Bay Area and New York City metropolitan area.

Company

Microsoft AI is an approximately 1,500-person organization within Microsoft that develops workflows and corporate technology suited to AI model research.

What you will do

• Own divisional corporate technology problems from discovery and architecture through implementation, deployment, adoption, operation, measurement, and continuous improvement.
• Maintain the SaaS, identity, application, and integration inventory and identify operational risks, control drift, ownership gaps, and recurring failures.
• Secure and operate the SaaS estate, improving SSO, SCIM, administrative roles, external access, OAuth integrations, retention controls, audit logging, and incident readiness.
• Engineer Entra-based identity and access capabilities, including authentication, authorization, conditional access, privileged access, joiner-mover-leaver workflows, access reviews, deprovisioning, and audit evidence.
• Build internal applications, automations, integrations, and self-service workflows using low-code/no-code platforms, APIs, event-driven services, configuration as code, and conventional software engineering.
• Establish delivery paths, automated validation, telemetry, dashboards, alerting, rollback, runbooks, and service-health measures while partnering with Microsoft central teams.

Requirements

• Doctorate in Statistics, Mathematics, Computer Science, or a related field and 3+ years of experience in software development lifecycle, large-scale computing, threat modeling, cybersecurity, anomaly detection, SOC detection, threat analytics, SIEM, IT, or operations incident response; or a master's degree and 4+ years; or a bachelor's degree and 6+ years; or equivalent experience.
• Experience must cover one or more of the listed areas, including software development lifecycle, large-scale computing, threat modeling, cybersecurity, anomaly detection, SOC detection, threat analytics, SIEM, IT, or operations incident response.

Nice to have

• Doctorate in Statistics, Mathematics, Computer Science, or a related field and 5+ years of experience in software development lifecycle, large-scale computing, threat modeling, cybersecurity, or anomaly detection; or a master's degree and 8+ years; or a bachelor's degree and 12+ years; or equivalent experience.
• Preferred qualifications are not independent pass/fail gates; candidates meeting some but not all are encouraged to apply.

Culture & Benefits

• Work with pace and urgency, favoring useful first implementations that remain maintainable and supportable.
• Treat corporate technology as a product and security-sensitive operating system, with emphasis on documentation, simplification, and continuous improvement.
• Build credibility through technical depth, evidence-based risk communication, clear escalation, and reliable follow-through.
• Focus on secure employee productivity, reusable platforms and patterns, mentoring, and reducing dependence on individual support.
• Eligible roles may include benefits and other compensation; the position remains open for at least five days and accepts applications until filled.

Hiring process

• Applications are accepted on an ongoing basis until the position is filled.
• Accommodation assistance is available during the application process for religious or disability-related needs.