Note: The job is a remote job and is open to candidates in USA. Tech Mahindra is a digital technology and information technology services company that delivers connected, customer-centric technology experiences. The Sr. AI Security Engineer will drive the development and optimization of AI security architectures, software, tools, processes, and workflows to predict, detect, and prevent AI-specific threats. The role provides hands-on technical leadership, integrates AI security capabilities into cybersecurity architectures, and mentors junior engineers.
Responsibilities
- Design, develop, and optimize AI/AI Security specific architectures, software, threat models, tools, solutions for threat identification, prediction, and prevention
- Implement and secure agentic and MCP architectures, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring
- Integrate AI security tools and technologies across AI architectures, collaborating with data scientists, security engineers, and other stakeholders
- Analyze AI security risk scoring and incident data to refine and improve AI architectures and methodologies
- Provide technical leadership and mentorship to junior engineers in Agentic and MCP architectures
- Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP)
- Stay abreast of emerging trends and advancements in AI and cybersecurity
Skills
- A bachelor's or master's degree in computer science, Engineering, or a closely related discipline is required
- 5+ years of experience in AI and cloud-focused architectures and cybersecurity in an enterprise environment
- 8+ years deep hands-on low/high level software development expertise in Python, R, Java, C or similar programming languages
- Deep hands-on understanding of agentic frameworks (LangGraph, LangChain, Crew, OpenClaw etc.,), and AI orchestration
- Hands-on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence)
- 5+ years' experience in Azure or AWS cloud native services, architectures, and tools
- Expertise in enterprise architecture (including Cloud-native and AI architecture patterns)
- Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM)
- Strong communication and collaboration skills
- Experience with agentic and model context protocols (MCP) architectures
- Demonstrated ability to lead cross-functional technical teams
- Track record of published research or thought leadership in AI security
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