GuidePoint Security
Cybersecurity
AISecurityEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Security Engineer at GuidePoint Security. Skills: AI Security, Generative AI, LLMs, Cloud Security. Advise on security posture of AI/ML systems. Assess security posture of AI/ML systems”
Industry & Context.
Identify vulnerabilities; Identify attack surfaces; Identify gaps
Remote in VA, MD, PA, NC, DE, NJ, or DC
What They're Looking For.
Must Have
5+ years security engineering, Significant focus on cloud security, Significant focus on AppSec, Hands-on experience implementing Agentic AI solutions, Hands-on experience managing Agentic AI solutions, Hands-on experience securing Agentic AI solutions, Hands-on experience supporting Agentic AI solutions, Familiarity with AWS Bedrock, Familiarity with AWS SageMaker, Familiarity with Azure AI Foundry, Familiarity with Google Vertex, Proficiency in Python, Solid understanding of generative AI concepts, Solid understanding of Large Language Models, Solid understanding of context engineering, Solid understanding of agentic tool usage, Solid understanding of foundational AI/ML principles, Deep knowledge of Agentic Coding assistants, Operational experience with Agentic Coding assistants, Written communication skills, Oral communication skills, Interpersonal skills, Demonstrated experience applying security principles to AI, Understanding of AI-specific security challenges
Nice to Have
AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, Claude Certified Architect, Understanding of model fine-tuning techniques, Familiarity with red teaming, Experience with policy as code languages, Experience with Infrastructure as Code tools
What You'll Do.
Advise on security posture of AI/ML systems
Assess security posture of AI/ML systems
Identify vulnerabilities in AI/ML systems
Identify attack surfaces in AI/ML systems
Identify gaps against industry frameworks
Lead threat modeling exercises for AI workloads
Advise on secure integration of SaaS AI services
Advise on secure integration of SaaS AI APIs
Evaluate controls for data ingestion pipelines
Recommend controls for RAG architectures
Recommend controls for vector databases
Serve as security advisor
Bridge business stakeholders
Bridge AI/ML engineers
Bridge information security teams
Track emerging AI security research
Track adversarial techniques
Track regulatory developments
Track vendor security advisories
Produce security architecture documentation
Maintain security architecture documentation
Produce risk assessments
Maintain risk assessments
Produce control frameworks
Maintain control frameworks
Produce guidelines for AI environment
Maintain guidelines for AI environment
Contribute to AI security strategy
Develop prioritized remediation roadmaps
Conduct capability maturity assessments
Provide investment recommendations
Develop training content on AI risks
Deliver training content on AI risks
Develop awareness content on AI risks
Deliver awareness content on AI risks
How You'll Work.
Team & Collaboration
Peers across multiple domains; AppSec teams; Cloud Security teams; Vulnerability Management teams; Business stakeholders; AI/ML engineers; IT operations; Information security teams
Communication Scope
Explain technical concepts; Written communication; Oral communication
Process & Methodology
Roadmap planning
Full Job Description
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U. S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. General Description GuidePoint Security is seeking a skilled AI Security Engineer to join our growing AI Security Services team. You will be assisting customers in the design, implementation, security, and operational management of generative AI security solutions. You will work closely with peers across multiple domains including AppSec, Cloud Security, and Vulnerability Management to deliver holistic and secure solutions adhering to industry best practices. This role offers the exciting opportunity to contribute to our growing AI security practice. Roles and Responsibilities AI Security Architecture & Assessment: 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). Threat Modeling for AI Systems: 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. Secure AI Integration Guidance: 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. Data Security & Privacy Controls: Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure, leakage through m
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