[Hiring] AI Security Engineer @GuidePoint Security

Role Description

The GuidePoint Security North Central region is seeking a skilled AI Security Engineer to join our growing AI Security Services team within the Automation and AI Practice. You will assist customers in the design, implementation, security, and operational management of generative AI security solutions — including:

• AI governance assessments
• LLM and agent security testing
• Shadow AI discovery
• Agentic workflow development
• Architecture reviews

You will work closely with peers across multiple domains including AppSec, Cloud Security, and Identity and Access Management to deliver holistic and secure solutions adhering to industry best practices.

Roles and Responsibilities

• AI Security Architecture & Assessment: Conduct secure configuration reviews and security assessments of enterprise AI platforms, identifying vulnerabilities and gaps against industry frameworks.
• Threat Modeling for AI Systems: Lead threat modeling exercises specific to AI workloads, covering various risks.
• AI Coding Tool & Development Environment Security: Assess AI coding tools and development environments for security.
• Secure AI Integration Guidance: Advise client teams on securely integrating SaaS AI services and APIs.
• Data Security & Privacy Controls: Evaluate and recommend controls for data ingestion pipelines and architectures.
• Shadow AI Discovery: Conduct shadow AI discovery engagements to assess data exposure risks.
• Security Controls & Guardrails Evaluation: Evaluate security controls across AI platforms.
• Agentic Workflow Development: Design and deploy AI agent workflows.
• Security Architecture Reviews: Perform security architecture reviews for organizations deploying AI agents.
• Security Documentation & Deliverables: Develop and deliver engagement artifacts.
• Strategic AI Security Roadmap: Contribute to the development of long-term AI security strategies.
• Collaboration & Stakeholder Engagement: Serve as a trusted security advisor bridging various teams.
• AI Threat Landscape Monitoring: Continuously track emerging AI security research and developments.

Qualifications

• 3+ years of experience in security engineering with a focus on cloud security and/or application security.
• Hands-on experience with agentic AI solutions within an enterprise context.
• Familiarity with major cloud service provider AI-focused services.
• Solid understanding of generative AI concepts and foundational AI/ML principles.
• Operational experience with agentic coding assistants.
• Understanding of AI-specific security challenges.
• Ability to produce professional client-facing deliverables.
• Strong written and verbal communication skills.
• Embraces emerging technologies to drive better business outcomes.

Preferred Experience and Education

• Certifications such as AWS Certified AI Practitioner or Azure AI Engineer Associate.
• Understanding or experience with model fine-tuning techniques.
• Experience with policy as code languages and Infrastructure as Code tools.
• Experience designing and implementing agentic AI architectures.
• Familiarity with MCP client/server architecture and associated security risks.
• Experience with AI security tooling categories.
• Prior experience in a consulting or managed services delivery model.

Travel Requirements

• Up to 10% travel.

Physical Requirements

• Sedentary work.
• Substantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day.
• Close visual acuity to view computer terminal and/or extensive reading for a minimum of 8 hours a day.

Benefits

• Remote workforce primarily (U.S. based only, some travel may be required).
• Group Medical Insurance options with significant premium coverage.
• Group Dental Insurance with premium coverage.
• 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.