Design, build, test, and operate AI-powered services that support security engineering and security operations workflows. Develop AI-enabled workflows that help engineering and security teams analyze information, retrieve relevant context, summarize findings, and make faster, higher-quality decisions. Build scalable systems that use large language models, retrieval-augmented generation, embeddings, semantic search, knowledge graphs, and related AI techniques to support security scenarios. Implement evaluation, monitoring, and telemetry capabilities to measure AI system quality, reliability, performance, and safety. Partner with engineering, applied science, product, security operations, and other teams to translate AI advances into practical, secure, durable and reliable platform capabilities. Contribute to service architecture, APIs, testing, observability, reliability, scalability, and operational excellence. Participate in technical design reviews, architecture discussions, code reviews, and incident investigations. Use data, telemetry, partner feedback, and operational learnings to continuously improve AI capabilities, system reliability, and platform impact. 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 OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field, OR equivalent industry experience. Experience building multi-agent systems, tool-use frameworks, orchestration layers, autonomous workflows, or AI copilots in production environments. Experience with vector databases, embeddings, semantic search, knowledge graphs, entity resolution, ranking, summarization, or context-grounding systems. Experience with LLM evaluation, responsible AI, model safety, hallucination mitigation, prompt injection defense, model monitoring, or AI governance controls. Experience with cloud security, security operations, threat detection, incident response, vulnerability management, identity and access systems, or security data platforms. Demonstrated ability to drive technical solutions from design through production, influence engineering decisions within a team or project area, mentor peers, and deliver measurable customer or business impact.
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