AI Security Engineer

GuidePoint Security

. Assist customers with the design, implementation, security, and operational management of generative AI security solutions .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in security engineering with a focus on cloud and application security, particularly in the context of generative AI solutions. Proficient in conducting security assessments, threat modeling, and developing secure architectures for AI platforms.

Highest-signal resume keywords

Security EngineeringCloud SecurityGenerative AI ConceptsAI Platform SecurityClient-Facing Assessment Reports

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Security SolutionsThreat ModelingSecure Configuration ReviewsAI Coding Tools AssessmentData Ingestion Pipeline EvaluationAI Agent Workflow DesignRisk AssessmentsControl FrameworksModel Fine-TuningAI-Specific Security Challenges

Soft Skills

Strong Written CommunicationStrong Verbal Communication

Tools & Technologies

AWS BedrockAWS SageMakerAzure AI FoundryGoogle VertexClaude CodeOpen CodeCursorCodexAISPMAI Runtime Protection

Certifications & Qualifications

AWS Certified AI PractitionerAWS Certified Machine Learning EngineerAzure AI Engineer AssociateClaude Certified Architect

Industry Keywords

Generative AIAI SecurityCloud SecurityApplication SecuritySaaS AI ServicesIAMDLPSIEMAdversarial TechniquesConsulting Services

Tech Stack

Tools & technologies

AWSAzureCloudTerraform

About the role

Key responsibilities & impact

Assist customers with the design, implementation, security, and operational management of generative AI security solutions
Conduct secure configuration reviews and security assessments of enterprise AI platforms
Lead threat modeling exercises for AI workloads
Assess AI coding tools and development environments for sandbox isolation, plugin allowlisting, secrets access, network egress controls, and CI/CD security
Advise clients on securely integrating SaaS AI services and APIs into enterprise applications
Evaluate controls for data ingestion pipelines, RAG architectures, and vector databases
Conduct shadow AI discovery engagements
Evaluate AI platform security controls and guardrails, including IAM, DLP, conditional access, SIEM, logging, human-in-the-loop mechanisms, and runtime protections
Design, build, and deploy AI agent workflows
Perform security architecture reviews for AI agent deployments and deliver reference architectures and recommendations
Develop secure configuration review reports, findings registers, AI security control matrices, reference architectures, risk assessments, control frameworks, and enablement roadmaps
Contribute to clients’ long-term AI security strategies, maturity assessments, and investment recommendations
Serve as a trusted advisor to business, AI/ML, IT operations, and information security stakeholders
Conduct stakeholder interviews and facilitate knowledge-transfer sessions
Monitor emerging AI security research, adversarial techniques, regulatory developments, and vendor advisories

Requirements

What you’ll need

3+ years of experience in security engineering with a significant focus on cloud security and/or application security
Hands-on experience implementing, managing, securing, and supporting agentic AI solutions within an enterprise context
Experience with enterprise AI platforms such as Anthropic Claude, OpenAI, or Microsoft Copilot
Familiarity with AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex
Solid understanding of generative AI concepts, LLMs, context engineering, agentic tool usage, and foundational AI/ML principles
Operational experience using agentic coding assistants such as Claude Code, Open Code, Cursor, or Codex
Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, model extraction attacks, excessive agency, and privilege escalation through tool chaining
Ability to produce client-facing assessment reports, findings registers, control matrices, and reference architecture documentation
Strong written and verbal communication skills
Preferred: AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect
Preferred: model fine-tuning experience
Preferred: Cedar or Rego and IaC tools such as AWS CloudFormation, Terraform, or OpenTofu
Preferred: agentic AI architecture design and implementation
Preferred: MCP client/server architecture familiarity
Preferred: AI security tooling experience, including AISPM, AI runtime protection, or AI control plane platforms
Preferred: consulting, professional services, or managed services delivery experience
Up to 10% travel
Sedentary work
Substantial movement of wrists, hands, and/or fingers for at least 8 hours daily
Close visual acuity for computer terminals and/or extensive reading for at least 8 hours daily

Benefits

Comp & perks

Remote workforce primarily (U.S. based only)
Group Medical Insurance options: Zero Deductible PPO Plan; GuidePoint pays 90% of the premium for employees and 70% for family plans, or High Deductible Health Plan with HSA; GuidePoint pays 100% of employee premiums and 75% for family plans
HSA contribution of $850 annually per employee or $1,750 annually per family
Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
12 corporate holidays
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