Copilot Security and Privacy is responsible for building those capabilities directly into Copilot. Our work focuses on new security primitives for agentic AI, including real-time intent validation, workload isolation with verifiable guarantees, AI-driven guardrails, and offensive security techniques that model how intelligent systems fail under pressure.

We are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy.

The problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented.

You will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation. If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Design and build secure, high-performance platform components that support Copilot’s agentic workflows across cloud and device environments.

• Develop novel security mechanisms for agentic AI systems, including real-time intent validation, information-flow controls, isolation boundaries, and abuse-resistant orchestration.

• Eliminate entire classes of vulnerabilities by creating secure-by-default APIs, sandboxing layers, and hardened system interfaces.

• Build and operate offensive security tooling and agents that continuously probe Copilot’s autonomy, reasoning paths, and trust boundaries.

• Partner closely with AI researchers, platform engineers, and product teams to translate research and prototypes into production-ready security features.

• Write high-quality, well-tested code across backend services, platform layers, and AI-adjacent systems.

• Use telemetry, signals, and data-driven analysis to detect abuse, anomalous agent behavior, and emerging threat patterns.

• Navigate ambiguity, make sound engineering tradeoffs, and ship iteratively in a fast-paced product environment.

• Contribute to a culture of high ownership, technical excellence, and inclusive collaboration.

Qualifications:

• Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years of experience OR Master’s Degree AND 4+ years of experience OR Bachelor’s Degree AND 6+ years of experience in security engineering, secure software development, large-scale computing, threat modeling, or applied security analytics, including experience designing or building systems to detect, prevent, or mitigate security threats, or equivalent experience.

• 8+ years of professional engineering experience.

• Solid coding skills in one or more of the following: C, C++, C#, Java, JavaScript, or Python.

• Demonstrated experience designing, building, and operating production systems at scale.

• Experience building or securing large-scale distributed systems on cloud platforms such as Azure, AWS, or GCP.

• Familiarity with emerging attack classes against AI systems, including prompt-based exploits, agent misbehavior, information-flow vulnerabilities, or model-assisted exfiltration.

• Proven ability to design system interfaces and abstractions that reduce misuse and prevent vulnerabilities by construction.

• Experience with AI platforms, LLM frameworks, or ML pipelines,or the ability to ramp up quickly.

• Background in sandboxing, isolation, container security, or trusted execution environments.

• Solid analytical skills, including working with telemetry, anomaly detection, or ML-based security signals.

• Ability to decompose ambiguous, unsolved problems into practical engineering plans.

• Clear, effective communication skills across technical and non-technical audiences.

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We are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy.

The problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented.

You will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation. If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.

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.

Responsibilities:

• Design and build secure, high-performance platform components that support Copilot’s agentic workflows across cloud and device environments.

• Develop novel security mechanisms for agentic AI systems, including real-time intent validation, information-flow controls, isolation boundaries, and abuse-resistant orchestration.

• Eliminate entire classes of vulnerabilities by creating secure-by-default APIs, sandboxing layers, and hardened system interfaces.

• Build and operate offensive security tooling and agents that continuously probe Copilot’s autonomy, reasoning paths, and trust boundaries.

• Partner closely with AI researchers, platform engineers, and product teams to translate research and prototypes into production-ready security features.

• Write high-quality, well-tested code across backend services, platform layers, and AI-adjacent systems.

• Use telemetry, signals, and data-driven analysis to detect abuse, anomalous agent behavior, and emerging threat patterns.

• Navigate ambiguity, make sound engineering tradeoffs, and ship iteratively in a fast-paced product environment.

• Contribute to a culture of high ownership, technical excellence, and inclusive collaboration.

Qualifications:

• Doctorate in Statistics, Mathematics, Computer Science, or related field AND 3+ years of experience OR Master’s Degree AND 4+ years of experience OR Bachelor’s Degree AND 6+ years of experience in security engineering, secure software development, large-scale computing, threat modeling, or applied security analytics, including experience designing or building systems to detect, prevent, or mitigate security threats, or equivalent experience.

• 8+ years of professional engineering experience.

• Solid coding skills in one or more of the following: C, C++, C#, Java, JavaScript, or Python.

• Demonstrated experience designing, building, and operating production systems at scale.

• Experience building or securing large-scale distributed systems on cloud platforms such as Azure, AWS, or GCP.

• Familiarity with emerging attack classes against AI systems, including prompt-based exploits, agent misbehavior, information-flow vulnerabilities, or model-assisted exfiltration.

• Proven ability to design system interfaces and abstractions that reduce misuse and prevent vulnerabilities by construction.

• Experience with AI platforms, LLM frameworks, or ML pipelines,or the ability to ramp up quickly.

• Background in sandboxing, isolation, container security, or trusted execution environments.

• Solid analytical skills, including working with telemetry, anomaly detection, or ML-based security signals.

• Ability to decompose ambiguous, unsolved problems into practical engineering plans.

• Clear, effective communication skills across technical and non-technical audiences.

XML job scraping automation by YubHub

We are hiring a Principal Security Engineer to help design and build these systems end-to-end. This is a hands-on engineering role for someone who wants to ship production code into a globally deployed AI platform,developing adaptive defenses, agentic offensive security, and security architectures that scale with autonomy. The problems are technically deep, often unsolved, and central to making advanced AI systems deployable in the real world. Most security roles focus on protecting existing systems. This role helps define the security architecture for systems that are still being invented. You will work at the intersection of AI, security, privacy, and distributed systems,building defenses that enable safe autonomy rather than limiting innovation.

If you want to shape how agentic AI is secured at global scale, this is a uniquely high-impact opportunity.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $347K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Private Computing and Encryption teams work across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like confidential computing, trusted execution environments, and end-to-end encryption to ship product features across ChatGPT, the API, and our future consumer devices.

About the Role

We’re looking for an experienced, technical product manager to shape our privacy strategy and deliver advanced encryption-based privacy features at rapid speed across ChatGPT, API, and future consumer devices.

In this role, you will:

• Shape the company strategy and set the industry standard on AI privacy.

• Deliver novel encryption-based privacy features across ChatGPT, API, and our future consumer devices at rapid speed.

• Work closely with an industry-leading team of researchers, engineers, and security experts to build core privacy technologies such as private inference and end-to-end encryption.

• Work closely with our safety, integrity, and legal teams to develop novel privacy-preserving safety features and balance difficult trade-offs.

• Work closely with a range of industry partners including cloud providers, GPU manufacturers, and security researchers.

• Partner with leadership, marketing, and global affairs to communicate OpenAI’s privacy values with our customers, industry professionals, and policymakers.

You might thrive in this role if you:

• Care deeply about user privacy and security.

• Have 10+ years of product management or related industry experience.

• Have prior experience in private computing, trusted execution environments, and end-to-end encryption.

• Lead with user empathy, a strategic mindset, and ability to balance equities across product, privacy, and safety.

• Bring an entrepreneurial mindset and adaptability, whether from startup or high-growth company environments.

• Demonstrate strong product intuition, making thoughtful prioritization and sequencing decisions.

• Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders.

Workplace & Location

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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