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AI Security Engineer
GuidePoint SecurityAI Security Engineer helping design, implement, and secure generative AI solutions. Collaborating across AppSec, Cloud Security, and Vulnerability Management.
Posted 6/12/2026full-timeRemote • District of Columbia, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure
- Lead threat modeling exercises specific to AI workloads
- Advise internal teams on securely integrating SaaS AI services and APIs
- Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases
- Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams
- Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories
- Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment
- Contribute to the development of a long-term AI security strategy
- Develop and deliver training and awareness content for technical and non-technical stakeholders on AI-specific risks
Requirements
What you’ll need- 5+ years of experience in security engineering with a significant focus on cloud security and/or AppSec
- Hands-on experience implementing, managing, securing, and supporting Agentic AI solutions within an enterprise context
- Familiarity with major cloud service provider AI-focused services such as AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex
- Proficiency in at least one relevant programming language, preferably Python
- Solid understanding of generative AI concepts, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles
- Deep knowledge and real operational experience in the usage of Agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex
- Strong written and oral communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
- Demonstrated experience applying security principles to AI implementations, including data protection, access controls, and threat modeling for AI systems
- Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, and model extraction attacks
Benefits
Comp & perks- Group Medical Insurance options: Zero Deductible PPO Plan
- Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
- 12 corporate holidays and a Flexible Time Off (FTO) program
- Healthy mobile phone and home internet allowance
- Eligibility for retirement plan after 2 months at open enrollment
- Pet Benefit Option
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
security engineeringcloud securityAppSecAgentic AI solutionsPythongenerative AI conceptsLarge Language Models (LLMs)context engineeringAgentic Coding assistantsthreat modeling
Soft Skills
written communicationoral communicationinterpersonal skillsexplain complex conceptstraining and awareness development