About the job
In this role, you will work at the intersection of applied research and engineering, designing and building production AI systems that combine large language models, traditional machine learning, and agent-based architectures. You will help translate cutting-edge AI concepts into real-world systems that power security detections and automated workflows at global scale.
Responsibilities
Design and build GenAI-powered agents that reason over signals, retrieve knowledge, and take intelligent actions to support complex workflows
Build AI systems with RAG, prompt engineering, and tool-using agents that handle multi-step workflows.
Build and integrate agent frameworks and AI services that enable reasoning, planning, and task execution
Apply traditional machine learning techniques (e.g., classification, anomaly detection, ranking) alongside LLM-based systems to improve overall system performance
Prototype and iterate on novel AI approaches, translating emerging research into practical production systems
Implement context engineering, structured outputs, and guardrails to improve system reliability and consistency
Develop and deploy production-grade AI systems, ensuring scalability, performance, and resilience
Design and execute evaluation frameworks to measure: Groundedness Relevance and correctness Model and system performance (precision, recall, etc.)
Continuously improve systems through offline experimentation and production monitoring
Prototype and deliver advanced capabilities such as: Multi-agent orchestration Stateful reasoning and memory Context-aware decision systems
Collaborate with partner teams and researchers to bring new AI capabilities into production
Incorporate safe and responsible AI practices, including mitigating hallucinations, misuse, and prompt injection risks
Qualifications
Minimum
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred
Experience building AI agents or multi-agent systems Experience translating research ideas into production systemsExperience deploying GenAI systems in production environments Familiarity with: Azure OpenAI, Azure AI Foundry, or similar platforms Agent frameworks or orchestration systemsExperience designing evaluation frameworks and metrics for AI systems Knowledge of: AI safety and responsible AI practices Prompt injection and security risks in LLM systemsExperience working on security, identity, fraud, or risk-based systems