Overview:
As AI Security Platform Engineer you will lead the design, integration, and operation of AI-powered SecOps platforms. You will connect security operations, engineering, and AI teams to deliver secure, scalable, and explainable solutions. You’ll interoperate with Microsoft Sentinel, SOAR, threat intel, and cloud security tools to enable responsible AI use in security. You’ll guide governance, risk management, and observability while mentoring teammates. This role offers shaping next-gen security operations and potential IP development in a collaborative setting. Compensation / Benefits Healthcare (medical, dental, vision) Life insurance Disability insurance 401(k) employer match Paid vacation Parental leave
Responsibilities:
Lead the implementation, integration, and support of Agentic SOC and autonomous investigation capabilities Design and develop security automation solutions using Python, REST APIs, cloud services, and IaC Build and maintain RAG architectures, agent orchestration frameworks, evidence pipelines, and AI workflow integrations Establish secure engineering standards, reusable patterns, and architecture frameworks for AI-enabled security platforms Design scalable integrations across Microsoft Sentinel, SOAR, threat intel, endpoints, identity, cloud, and email security platforms Implement AI observability, monitoring, auditability, and explainability to improve performance and governance Identify AI model, data flow, and cloud risk with practical mitigation strategies Partner with Security Operations, Architecture, Risk, Data, and Technology teams to improve detection, triage, and autonomous investigations
Key requirements:
7+ years of cybersecurity engineering experience across multiple information security domains 2+ years hands-on experience with AI, Generative AI, ML, Agentic AI, or AI platform technologies Experience building and supporting security automation, SOAR, or enterprise security platform engineering Strong software engineering skills in Python, API development/integration, and security workflow automation Experience with Microsoft Sentinel, security orchestration technologies, and production SecOps environments Hands-on experience with Azure, AWS, cloud-native services, and Infrastructure as Code (Terraform, Bicep, ARM) Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, MCP, RAG architectures, AI orchestration frameworks, and Azure OpenAI/Security Copilot Proven ability to lead complex technical initiatives, communicate security risk to senior stakeholders, and influence scalable solutions leadership and mentorship clear communication with senior stakeholders collaboration across cross-functional teams Python REST API development SOAR