Member Of Technical Staff – Security Engineer (AI)
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Описание вакансии
TL;DR
Member Of Technical Staff – Security Engineer (AI): Designing and building secure, high‑performance platform components that support Copilot’s agentic workflows across cloud and device environments with an accent on real‑time intent validation, information‑flow controls, and abuse‑resistant orchestration. Focus on developing novel security mechanisms for agentic AI systems and building offensive security tooling and agents that continuously probe Copilot’s autonomy.
Location: New York, United States. Starting January 26, 2026, AI (MAI) employees who live within a 50- mile commute of a designated office in the U.S. are expected to work from the office at least four days per week.
Salary: USD $139,900 – $274,800 per year. In New York City metropolitan area: USD $188,000 – $304,200 per year.
Company
’s mission is to empower every person and every organization on the planet to achieve more.
What you will do
- 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.
- 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.
- Use telemetry, signals, and data‑driven analysis to detect abuse, anomalous agent behavior, and emerging threat patterns.
- Contribute to a culture of high ownership, technical excellence, and inclusive collaboration.
Requirements
- 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.
- 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.
- Ability to decompose ambiguous, unsolved problems into practical engineering plans.
- Clear, effective communication skills across technical and non‑technical audiences.
Nice to have
- 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.
Culture & Benefits
- Employees come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
- Build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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