Principal Consultant, AI/ML, Mandiant, Google Cloud

<h3>Minimum qualifications:</h3><ul> <li>Bachelor's in Computer Science, Cybersecurity, or equivalent work experience.</li> <li>8 years of experience in assessing and developing multi-domain IT or security solutions.</li> <li>Experience using AI platforms to build Generative AI agents to modernize legacy workflows.</li> <li>Experience with Python.</li> <li>Experience integrating distributed systems via Cloud APIs or REST.</li> </ul><h3>Preferred qualifications:</h3><ul> <li>Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.</li> <li>Experience building MCP servers and seamlessly integrating complex distributed systems via Cloud APIs.</li> <li>Client-facing consulting experience with exceptional communication skills, adept at translating complex AI concepts for non-technical stakeholders.</li> <li>Deep background in cybersecurity operations (SOC, Incident Response, or Detection Engineering) utilizing SIEM and SOAR platforms.</li> <li><div>Familiarity with AI evaluation frameworks, production guardrails, and Google Cloud’s AI ecosystem.</div></li> <li>Advanced Python engineering skills, demonstrating creative problem-solving in designing multi-agent systems, RAG pipelines, and LLM tool-calling.</li> </ul><h3>About the job</h3><br><h3>Responsibilities</h3><ul> <li>Analyze customer Cyber Defense Centers (CDC) to uncover complex operational issues, formulating and executing innovative AI and automation strategies that optimize overall defense capabilities.</li> <li>Design, build, and maintain intelligent agents and reusable skills that creatively transform manual security operations such as alert triage and threat hunting into highly efficient, automated workflows.</li> <li>Develop internal AI frameworks, prompt pipelines, and MCP connectors to seamlessly integrate intelligent agents with core enterprise security platforms like SIEM and SOAR.</li> <li>Architect evaluation processes and security controls to safeguard internal and client-facing AI systems against adversarial risks, including prompt injection and data leakage.</li> <li>Author comprehensive documentation and runbooks to empower consulting teams, while continuously tracking the rapidly evolving agentic AI landscape to drive practical improvements.</li> </ul>