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Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Drive enterprise adoption of secure AI architectures and autonomous AI systems
- Define and execute AI Security go-to-market strategies
- Lead AI Security service offerings, delivery models, and pursuits
- Architect secure AI, LLM-based and agentic AI solutions
- Mentor teams and act as trusted AI security advisor
Requirements
What you’ll need- Bachelor’s degree in Computer Science or related field
- 15+ years of experience in AI / Cybersecurity leadership roles
- Certifications such as CISSP, CCSP, AI certifications preferred
- Expertise in agentic AI, multi-agent systems, LLM engineering
- Strong cybersecurity domain knowledge (IAM, SIEM, SOAR)
- Experience with Python, LangChain, LangGraph, AutoGen
- Cloud platforms: Azure, AWS, GCP
Benefits
Comp & perks- Lead a cutting-edge AI Security practice
- Work on global, high-impact engagements
- Inclusive, flexible, innovation-driven culture
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonLangChainLangGraphAutoGenAI SecurityLLM engineeringagentic AImulti-agent systemsIAMSIEM
Soft Skills
mentoringleadershipadvisory
Certifications
CISSPCCSPAI certifications