[Remote] Principal Consultant, AI/ML, Mandiant, Google Cloud
Note: The job is a remote job and is open to candidates in USA. Google is a leading technology company, and they are seeking a Principal Consultant in AI/ML to work with Mandiant within Google Cloud. This role involves architecting and building intelligent agents to automate operations within a Cyber Defense Center, collaborating with various stakeholders to translate complex security workflows into reliable AI systems.
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
Skills
- 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
- 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
Benefits
- 20% bonus target
- Equity
- Benefits
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