GuidePoint Security

1 month ago

AI Security Engineer - Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

AI security engineer to design, implement, and operate secure AI/ML solutions across AI security domains. You will assess AI/ML systems, lead threat modeling for AI workloads, advise on secure integration of AI services, and develop security standards and roadmaps while collaborating with AppSec, Cloud Security, and Vulnerability Management teams.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Manager level

Key Responsibilities

•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.
•Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment.

Pay and Benefits

Perks:Remote WorkHealth InsuranceDentalRetirementHome InternetPet BenefitPaid Holidays

Key Requirements

•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

Experience:5+ yearsCloud securityAI securitySecurity engineering

Skills:CommunicationCollaborationProblem-solving

Certifications:AWS Certified AI PractitionerAWS Certified Machine Learning EngineerAzure AI Engineer Associate

Languages:English

Tech Stack:PythonAWS BedrockAWS SageMakerAzure AI FoundryGoogle VertexOpenAIBedrockSageMakerLLMs

Company Brief

GuidePoint Security

Provides cybersecurity consulting, managed security services, incident response, cloud and network security, and compliance solutions to enterprises and government organizations, helping clients identify, mitigate, and respond to cyber threats across complex environments.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Herndon, United States

Founded: 2010

Website LinkedIn

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GuidePoint Security

1 month ago

AI Security Engineer - Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Manager level

Key Responsibilities

•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.
•Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment.

Pay and Benefits

Perks:Remote WorkHealth InsuranceDentalRetirementHome InternetPet BenefitPaid Holidays

Key Requirements

•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

Experience:5+ yearsCloud securityAI securitySecurity engineering

Skills:CommunicationCollaborationProblem-solving

Certifications:AWS Certified AI PractitionerAWS Certified Machine Learning EngineerAzure AI Engineer Associate

Languages:English

Tech Stack:PythonAWS BedrockAWS SageMakerAzure AI FoundryGoogle VertexOpenAIBedrockSageMakerLLMs

Company Brief

GuidePoint Security

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Herndon, United States

Founded: 2010

Website LinkedIn