AI Security Engineer – Mid-Atlantic Region

GuidePoint Security

AI Security Engineer assisting customers with design and security of generative AI solutions. Collaborating with teams to deliver secure solutions and operational management.

Posted 6/15/2026full-timeRemote • District of Columbia, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

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Hard Skills

security engineeringcloud securityAppSecAgentic AI solutionsprogramming languagePythongenerative AI conceptsLarge Language Models (LLMs)threat modelingdata protection

Soft Skills

written communicationoral communicationinterpersonal skillsexplain complex conceptstraining and awareness development

Tools & Technologies

AWS BedrockAWS SageMakerAzure AI FoundryGoogle VertexClaude CodeOpen CodeCursorCodexSaaS AI servicesAPIs

Industry Keywords

AI securitymodel serving infrastructurevulnerabilitiesattack surfacesdata ingestion pipelinesRAG architecturesvector databasesadversarial inputsdata poisoningsupply chain security

Tech Stack

Tools & technologies

AWSAzureCloudPython

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 — identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS)
Lead threat modeling exercises specific to AI workloads, covering adversarial inputs, prompt injection, model inversion, data poisoning, and supply chain risks across SaaS, self-hosted, and local AI deployments.
Advise internal teams on securely integrating SaaS AI services and APIs (e.g., OpenAI, Azure OpenAI, Bedrock) into enterprise applications, including safe handling of credentials, outputs, and user data.
Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure, leakage through model outputs, or non-compliant data processing.
Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams on all matters related to AI risk and security.
Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories to keep client guidance relevant and proactive.
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, including prioritized remediation roadmaps, capability maturity assessments, and investment recommendations.
Develop and deliver training and awareness content for technical and non-technical stakeholders on AI-specific risks, responsible AI usage, and secure development practices for AI-powered applications.

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 (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options)
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