Senior AI Security Architect
- Location
- Texas-wide, United States
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview: We are hiring an experienced Senior AI Security Architect to design and optimize advanced AI security architectures, with a strong focus on AI threat detection, prevention, agentic AI, MCP architectures, and cloud security. • Key Responsibilities & Daily Duties: - Design, architect, and optimize advanced AI security frameworks and architectures. - Address AI threat detection, intrusion detection, anomaly detection, prevention, and threat intelligence. - Architect and secure agentic AI systems and MCP (Model Context Protocol) architectures. - Provide enterprise AI architecture oversight, security governance, and technical leadership across cross-functional teams. • Required Qualifications, Skills & Experience: - 10+ years of software architecture and development engineering experience. - 8+ years of hands-on programming experience in Python, R, Java, C, or similar languages. - 5+ years of experience in AI, cloud architecture, and enterprise cybersecurity. - 3+ years of AI/ML development experience. - Strong expertise in agentic AI frameworks, including LangGraph, LangChain, Crew, and AI orchestration. - Hands-on experience with AI security, intrusion detection, anomaly detection, and threat intelligence. - 5+ years of experience with Azure or AWS cloud-native services. - Solid knowledge of NIST AI-RMF, ISO 42001, and OWASP Top 10 for LLMs. - Experience with enterprise AI architecture, security governance, and technical leadership. - Preferred Qualifications: Agentic AI and MCP architecture experience, cross-functional team leadership, and published AI security research. • Working Hours, Shifts & Location Details: - Location: Remote within the US (CST Time Zone) / Texas (TX). • Compensation & Benefits: - Not specified. • Application Instructions: - Interested candidates should submit their updated resume for consideration.