Principal Consultant, AI/ML, Mandiant, Google Cloud

Principal Consultant, AI/ML, Mandiant, Google Cloud corporate_fare Google place Reston, VA, USA ; United States laptop_windows Remote eligible bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. info_outline X The application window will be open until at least June 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to your preferred working location from the following: In-office locations: Reston, VA, USA. Remote location(s): United States.

Minimum qualifications:

Bachelor's in Computer Science, Cybersecurity, or equivalent work experience. 8 years of experience in assessing and developing multi-domain IT or security solutions. Experience using AI platforms to build Generative AI agents to modernize legacy workflows. Experience with Python. Experience integrating distributed systems via Cloud APIs or REST.

Preferred qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field. Experience building MCP servers and seamlessly integrating complex distributed systems via Cloud APIs. Client-facing consulting experience with exceptional communication skills, adept at translating complex AI concepts for non-technical stakeholders. Deep background in cybersecurity operations (SOC, Incident Response, or Detection Engineering) utilizing SIEM and SOAR platforms. Familiarity with AI evaluation frameworks, production guardrails, and Google Cloud's AI ecosystem. Advanced Python engineering skills, demonstrating creative problem-solving in designing multi-agent systems, RAG pipelines, and LLM tool-calling. About the job Responsibilities Analyze customer Cyber Defense Centers (CDC) to uncover complex operational issues, formulating and executing innovative AI and automation strategies that optimize overall defense capabilities. 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. Develop internal AI frameworks, prompt pipelines, and MCP connectors to seamlessly integrate intelligent agents with core enterprise security platforms like SIEM and SOAR. Architect evaluation processes and security controls to safeguard internal and client-facing AI systems against adversarial risks, including prompt injection and data leakage. Author comprehensive documentation and runbooks to empower consulting teams, while continuously tracking the rapidly evolving agentic AI landscape to drive practical improvements.