Secure AI Engineer Manager

Responsibilities: Lead day-to-day client workstreams with independence and deliver high-quality technical output Design, set up, and test prototype and production secure AI deployments Develop AI security and governance offerings leveraging LLM platforms and agentic frameworks Build client relationships and establish trust with key advisors Make the business case for secure AI solutions and contribute to sales efforts when needed Foster learning and development in AI security, emerging tech, and business skills Travel as required to client sites

Key requirements: Minimum 5 years in a cybersecurity discipline with depth in at least one area (AppSec, SecOps/detection, IAM, cloud security, offensive security, GRC, or responsible AI) At least 1 year hands-on with agentic coding tools (Claude Code, Cursor, GitHub Copilot, Codex) At least 1 year of AI architecture fundamentals (LLMs, agentic systems, A2A, RAG, MLOps, AI Gateways, model serving) At least 1 year in AI-specific security (OWASP LLM Top 10, prompt injection, adversarial inputs, AI supply chain risks) At least 1 year threat modeling for AI systems (STRIDE, PASTA) applied to LLMs and agentic pipelines Cloud platform security fundamentals certification (AWS, Azure, or GCP) Bachelor’s degree or equivalent work experience (min 12 years total; Associate’s with 6+ years) Strong leadership and mentoring Clear communication to director-level stakeholders Collaborative problem-solving and cross-functional teamwork Agentic coding tools (Claude Code, Cursor, GitHub Copilot, Codex) AI architecture fundamentals (LLMs, agentic systems, A2A, RAG, MLOps) AI security (OWASP LLM Top 10, prompt injection, adversarial inputs, AI supply chain risks)