Senior AI Security Automation Engineer, Vice President
Core
Architecting and delivering production-grade agentic AI platforms, autonomous agents, and security automation solutions to enable AI-driven cybersecurity operations.
Role type
Senior IC AI Security Automation Engineer
Builds
Scalable AI platforms, autonomous agents, security automation workflows, and data-driven applications for cybersecurity teams
Domain
Cybersecurity, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Generative AI and LLM solution architecture, agentic workflows and intelligent agents, cloud-native application design, distributed systems engineering, RAG solution development, AI evaluation and observability, API design and integration, technical leadership and mentoring, responsible AI principles, cybersecurity data and operations expertise, CI/CD pipeline implementation, multi-language software development (Python, JavaScript/TypeScript, Rust, Go, Bash, PowerShell), framework expertise (LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain), data platform experience (Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow), vector databases and semantic search, MLOps and LLMOps
Preferred skills
Enterprise-scale application deployment, cybersecurity analytics solutions, virtual collaboration with distributed teams
Technologies
AWS, Azure, GCP, containers, serverless, event-driven messaging, distributed data stores, Jenkins, Harness, Spinnaker, Argo CD, LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow, vector databases
Responsibilities
Drive architecture and delivery of agentic AI platforms for security workflows; Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration; Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management; Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns; Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls; Build well-governed APIs and integrations that connect AI capabilities to security platforms; Establish evaluation, research, regression testing, and observability frameworks; Define engineering standards for reliability, security, and safe AI operation; Mentor junior engineers and influence engineering direction; Leverage enterprise-authorized AI coding assist tools to improve code quality and productivity
Seniority
Senior, hands-on IC with technical leadership