Senior AI Security Engineer - Agentic AI & LLMs

nava software solutions • United State
Remote
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AI Summary

Design, implement, and maintain AI safety and security controls for LLM-based and agentic AI systems. Conduct AI red teaming and risk assessments. Establish AI governance standards. 100% remote, Charlotte NC.

Key Highlights
Design and implement AI security controls for LLMs and agentic AI
Conduct AI red teaming and risk assessments
Establish and enforce AI governance and security standards
Key Responsibilities
Design, implement, and maintain AI safety and security controls for LLM-based and agentic AI systems
Conduct AI red teaming and adversarial testing to identify vulnerabilities and risks
Develop and maintain automated safety evaluation frameworks and regression test suites
Perform threat modeling and risk assessments for agentic AI applications
Implement runtime monitoring, detection, and incident response capabilities
Establish and enforce AI governance, security, and responsible AI standards
Technical Skills Required
AI Model Security Threat Scanning Agentic AI Foundational Security Controls Agentic AI Security Development Lifecycle
Benefits & Perks
100% Remote

Job Description


Role- Custom Software Engineer

End Client - TIAA

Location - Charlotte NC (100% Remote)



-Must-have skills:

1. AI Model Security Threat scanning

2. Agentic AI foundational security controls

3. Agentic AI security development Lifecycle



Responsibilities:

o Design, implement, and maintain AI safety and security controls for LLM-based and agentic AI systems, including prompt injection defenses, jailbreak prevention, PII protection, and tool-use restrictions.

o Conduct AI red teaming and adversarial testing to identify vulnerabilities, misuse scenarios, prompt attacks, data leakage risks, and unauthorized agent behaviors.

o Develop and maintain automated safety evaluation frameworks and regression test suites to validate AI systems against security, compliance, and responsible AI requirements before deployment.

o Perform threat modeling and risk assessments for agentic AI applications, identifying potential attack vectors related to memory, retrieval systems, tool calling, and external integrations.

o Implement runtime monitoring, detection, and incident response capabilities to identify anomalous agent behavior, policy violations, excessive tool usage, and potential security incidents.

o Establish and enforce AI governance, security, and responsible AI standards, translating organizational policies and regulatory requirements into technical controls and measurable acceptance criteria.


Thanks & Regards

Shyam (SAM)

Sr.Recruiter


Direct: 860 697 7368

Email: [email protected]


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