AI Security Engineer - North Central region (Remote in the U.S.)

The role

You will assist customers in the design, implementation, security, and operational management of generative AI security solutions. This includes AI governance assessments, LLM and agent security testing, shadow AI discovery, and architecture reviews.

What you will do

• Conduct secure configuration reviews and security assessments of enterprise AI platforms
• Lead threat modeling exercises specific to AI workloads
• Assess AI coding tools and development environments
• Advise client teams on securely integrating SaaS AI services and APIs
• Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases
• Conduct shadow AI discovery engagements
• Evaluate security controls and guardrails across AI platforms
• Design, build, and deploy AI agent workflows
• Perform security architecture reviews for organizations deploying AI agents
• Develop and deliver engagement artifacts including reports and roadmaps

Required qualifications

• 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
• Familiarity with major cloud service provider AI-focused services such as AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex
• Solid understanding of generative AI concepts, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles
• Operational experience in the usage of 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 ch
• Ability to produce professional client-facing deliverables
• Strong written and verbal communication skills
• Embraces emerging technologies, including AI tools

Nice to have

• Certifications such as AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect
• Understanding or experience with model fine-tuning techniques
• Experience with policy as code languages like Cedar or Rego and Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, OpenTofu, or equivalent technologies
• Experience designing and implementing agentic AI architectures that balance security and autonomy
• Familiarity with MCP client/server architecture vs. agentic skills and the associated security risks of each
• Experience with AI security tooling categories such as AI Security Posture Management (AISPM), AI runtime protection, or AI control plane platforms
• Prior experience in a consulting, professional services, or managed services delivery model with direct client engagement

Benefits

• Group Medical Insurance options
• Group Dental Insurance
• 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

Before you apply

• Applicants must be authorized to work for any employer in the U.S.
• Unable to sponsor or take over sponsorship of an employment visa for this role

About the company

GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. It serves as a trusted advisor to more than 6,200 customers.