or apply directly on LTS's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 52 days LTS's roles stay open a median of 53 days
- Reposted
- No
- Salary listed
- No 10% of LTS's roles list one
- Ghost-job risk at LTS
- high 21 stale, 0 reposted of 29 open
- Hiring momentum
- 36 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-25
Measured from postings appearing on and disappearing from LTS's own greenhouse board since 2026-08-03. Full hiring picture for LTS.
About this role
As an Agentic AI Security Engineer, you will focus on securing AI systems by designing and implementing security controls, conducting threat modeling, and ensuring compliance with governance standards. You will collaborate with various engineering teams to integrate security into all stages of AI development, protecting against emerging AI-specific vulnerabilities while promoting responsible AI practices. Your role will also involve monitoring AI behavior and ensuring the secure handling of sensitive data throughout AI workflows.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of LTS as an employer.
What you need
- 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
Nice to have
- 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
What you get
- 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
Worth weighing
- No specific salary details provided beyond the range of 152K - 184K
- Role focuses on securing AI systems rather than general infrastructure security, which may limit exposure to broader security practices
- The platform is designed for deployment across federal enterprise environments, which may involve navigating complex regulatory requirements
Summarised from LTS's posting. Read the full original.
Listed by LTS on their greenhouse job board, last confirmed open on 2026-09-25. PitchMeAI is not the employer.
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