Agentic AI Security Engineer

Role Description

LTS is seeking a highly skilled Agentic AI Security Engineer to ensure our AI systems are secure, trustworthy, resilient, and governed responsibly. You'll design safeguards that protect AI agents, retrieval pipelines, prompts, tools, memory, and model interactions from misuse while ensuring every AI response remains explainable, auditable, and aligned with enterprise security and compliance requirements. This role focuses on securing AI systems, not simply securing infrastructure.

The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today. Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide. The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

You'll work alongside AI architects, software engineers, platform engineers, cybersecurity engineers, and product leaders to embed AI security into every stage of development from experimentation through production deployment. We’re building an AI platform where security, transparency, and trust are foundational, not afterthoughts.

Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Artificial Intelligence, Software Engineering, Information Security, or a related technical discipline (or equivalent professional experience).
• 7+ years of software engineering, cybersecurity engineering, AI engineering, or application security experience.
• Experience designing secure cloud-native or distributed software systems.
• Experience with Large Language Models (LLMs), AI applications, or Agentic AI platforms.
• Experience securing APIs, microservices, and enterprise applications.
• Knowledge of OWASP Top 10 and secure software development practices.
• Understanding of AI-specific security risks including:
  • Prompt injection
  • Jailbreaking
  • Data poisoning
  • Model abuse
  • Adversarial inputs
  • Hallucination mitigation
  • Sensitive data leakage
• Experience with cloud security across AWS, Azure, or Google Cloud.
• Strong programming experience in Python or TypeScript.
• Excellent communication and collaboration skills.
• A mindset of both a security engineer and a software engineer.
• Experience with solving problems that don’t yet have established playbooks.
• Ability to stay current with emerging AI threats and defensive techniques.
• Experience with ownership of complex technical challenges.
• Ability to collaborate effectively across engineering disciplines.
• Capability to influence how secure AI systems are built in highly regulated environments.
• Strong ability to balance innovation with responsible engineering.

Requirements

• Experience securing Retrieval-Augmented Generation (RAG) systems.
• Experience with AI guardrails and policy engines.
• Familiarity with frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or LlamaIndex.
• Experience with vector databases including Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
• Experience implementing AI observability, evaluation, or monitoring solutions.
• Experience with NIST AI Risk Management Framework (AI RMF), Responsible AI practices, or AI governance frameworks.
• Experience supporting Federal Government or healthcare environments.
• Familiarity with Zero Trust Architecture and secure DevSecOps practices.
• Professional certifications such as CISSP, CCSP, Security+, GIAC, or cloud security certifications are a plus.

Benefits

• The Opportunity to support high-visibility federal missions.
• A culture that values innovation, growth, and collaboration.
• Access to cutting-edge tools and technologies.
• Comprehensive benefits for you and your family.
• A career path that rewards ambition and performance.