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

The role

You will assist customers in the design, implementation, security, and operational management of generative AI security solutions. You will work with peers across AppSec, Cloud Security, and Vulnerability Management domains.

What you will do

• Advise on and assess the security posture of AI/ML systems
• Lead threat modeling exercises for AI workloads
• Advise on securely integrating SaaS AI services and APIs into enterprise applications
• Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases
• Serve as a security advisor to business stakeholders, AI/ML engineers, IT operations, and information security teams
• Track emerging AI security research, adversarial techniques, and regulatory developments
• Produce and maintain security architecture documentation, risk assessments, and guidelines
• Contribute to the development of a long-term AI security strategy
• Develop and deliver training and awareness content on AI-specific risks and secure development

Required qualifications

• 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
• Deep knowledge and real operational experience in the usage of Agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex
• Strong written and oral communication and interpersonal skills
• Demonstrated experience applying security principles to AI implementations
• Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, and model extraction attacks

Nice to have

• AWS Certified AI Practitioner/AWS Certified Machine Learning Engineer
• Azure AI Engineer Associate
• Claude Certified Architect
• Understanding or experience with model fine-tuning techniques
• Familiarity with red teaming of agentic systems
• 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

Benefits

• Remote workforce primarily
• 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.
• We are 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.