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LTS - Agentic AI Security Engineer

Remote - United States2d ago

Remote Senior NA Cybersecurity Cloud Computing Security Engineer Software Engineer Python TypeScript Azure AWS Governance Qdrant Pinecone Weaviate Risk Management Milvus Vector Risk Assessment Regulatory Compliance

Requirements

• 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. • Prompt injection • 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. • 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.

Responsibilities

• Secure Agentic AI Systems • Design and implement security controls for autonomous and multi-agent AI systems. • Secure agent orchestration, tool execution, memory, and external integrations. • Identify and mitigate emerging AI-specific attack vectors and vulnerabilities. • Protect AI Models and Knowledge Systems • Secure Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and enterprise knowledge repositories. • Design controls that prevent unauthorized knowledge access, data leakage, and information exposure. • Implement secure handling of sensitive enterprise and healthcare data throughout AI workflows. • AI Threat Modeling • AI Threat Modeling • Perform threat modeling for AI applications, agent architectures, prompts, APIs, and retrieval systems. • Assess risks associated with prompt injection, jailbreak attempts, indirect prompt attacks, tool misuse, hallucinations, data poisoning, model abuse, and adversarial inputs. • Develop mitigation strategies that reduce AI-specific security risks while maintaining usability. • Responsible AI & Governance • Build guardrails that improve trustworthy AI behavior. • Design policy enforcement, human-in-the-loop approval workflows, content filtering, and AI governance mechanisms. • Help define organizational standards for responsible AI development and deployment. • AI Observability & Monitoring • Design monitoring capabilities that detect abnormal agent behavior, misuse, prompt manipulation, and anomalous model interactions. • Implement logging, traceability, and audit capabilities supporting explainability and regulatory compliance. • Build mechanisms for continuous AI risk assessment and operational visibility. • Secure AI Development • Partner with software engineers to integrate AI security into development workflows. • Conduct security reviews of AI features before production deployment. • Promote secure AI engineering practices across the product organization.

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 • If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together!