Lead the design and implementation of AI threat detection systems that identify and mitigate threats such as prompt injection, memory poisoning, data exfiltration, agentic workflow abuse, and emerging adversarial attacks. Drive the development of security services, classifiers, evaluation frameworks, telemetry pipelines, and risk assessment systems used to measure and improve Copilot security posture. Conduct threat modeling exercises and identify security gaps across AI workflows, tools, orchestration layers, and platform integrations. Partner with product teams to translate security requirements into scalable engineering solutions and platform capabilities. Investigate emerging attack techniques and develop durable defenses that can be adopted across multiple Copilot experiences. Drive root cause analysis and technical remediation efforts following security incidents. Influence architectural decisions and engineering investments that improve platform security, resilience, and trustworthiness. Lead design reviews and mentor engineers through technical guidance, code reviews, and knowledge sharing. Contribute to technical strategy and roadmap planning for key AI security investments. Participate in on-call rotations and lead investigations during complex security events impacting production systems. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 5+ years of experience designing, building, and operating production software systems. Software engineering fundamentals and proficiency in one or more modern programming languages such as C#, C++, Go, Rust, Python, or TypeScript. Experience designing distributed systems, cloud-native services, or platform infrastructure at scale. Experience identifying, analyzing, or mitigating security risks in production environments. Understanding of modern AI security challenges, including prompt injection, indirect prompt attacks, memory poisoning, data exfiltration, model misuse, and agentic system risks. Ability to drive technical initiatives across multiple teams and influence engineering decisions without direct authority. Problem-solving and communication skills, including the ability to explain technical tradeoffs to engineers, product teams, and leadership. Experience building security detection systems, reputation systems, anomaly detection platforms, threat intelligence systems, abuse prevention technologies, or Trust & Safety systems. Experience with large language models, AI systems, machine learning infrastructure, or evaluation frameworks. Experience performing threat modeling, security reviews, red teaming, adversarial testing, or incident response. Familiarity with AI safety, AI security research, or emerging attack and defense techniques. Contributions to security tooling, patents, publications, open-source projects, or recognized technical leadership in security-related domains.
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