Senior Software Engineer

Responsibilities

• Design, deploy, and operate production-scale ML systems that protect Copilot from prompt injections, adversarial inputs, and agentic workflow abuse.
• Develop adaptive detection and policy models that respond to evolving attacker behavior.
• Build AI security evaluation frameworks, adversarial testing capabilities, red-team support, and continuous robustness measurement.
• Define security effectiveness metrics and run experiments covering adversarial robustness, precision/recall, and user experience impact.
• Integrate ML defenses into secure orchestration frameworks governing agent delegation, tool calling, and action execution.
• Monitor telemetry to improve model performance and reduce false positives and false negatives.
• Partner with product, privacy, security, engineering, and AI platform teams to deploy secure agentic AI patterns across Copilot.
• Document applied ML security techniques and establish reusable security best practices.
• Perform on-call engineering duties.

Requirements

• Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
• Ability to pass Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
• Preferred: Master’s degree and 6+ years of technical engineering experience, or bachelor’s degree and 8+ years of experience, or equivalent experience.
• Experience designing, building, and operating security-critical production software systems with responsibility for correctness, availability, performance, and maintainability.
• Experience with threat modeling, vulnerability remediation, security defenses, distributed systems, identity, authorization, telemetry, and failure isolation.
• Experience with vulnerability research, red teaming, adversarial testing, incident response, post-incident analysis, and durable security improvements.
• Experience creating platform-level security solutions, risk-management frameworks, security metrics, dashboards, or evaluation pipelines.
• Experience serving as a technical lead or architectural reviewer, mentoring engineers, and communicating security tradeoffs to technical and executive stakeholders.
• Experience securing AI-driven, agentic, tool-invoking, prompt-based, or generative AI systems.
• Ability to operate effectively in ambiguous and rapidly evolving security environments.

Benefits

• The position includes on-call engineering duties.
• Microsoft Cloud Background Check is required upon hire or transfer and every two years thereafter.
• The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
• Certain roles may be eligible for benefits and other compensation.