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

1 week ago
Full-time
Senior
Artificial Intelligence and Machine Learning
GuidePoint Security

GuidePoint Security

GuidePoint Security is a trusted cybersecurity consulting firm that provides expertise, solutions, and services to help organizations make informed decisions and minimize risks. Their elite team of experts offers holistic perspectives on cybersecurity,...

Internet Software & Services
251-1K
Founded 2011

Description

  • Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure.
  • Lead threat modeling exercises for AI workloads, including adversarial inputs, prompt injection, model inversion, data poisoning, and supply chain risks.
  • Provide guidance on securely integrating SaaS AI services and APIs into enterprise applications.
  • Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent data exposure and leakage.
  • Serve as a security advisor across business stakeholders, AI/ML engineers, IT operations, and information security teams.
  • Track emerging AI security research, adversarial techniques, regulatory developments, and vendor advisories.
  • Produce and maintain security architecture documentation, risk assessments, control frameworks, and AI security guidelines.
  • Contribute to long-term AI security strategy, including remediation roadmaps, maturity assessments, and investment recommendations.
  • Develop and deliver training and awareness content on AI-specific risks, responsible AI usage, and secure development practices.

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 in an enterprise context.
  • Familiarity with major cloud AI 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, LLMs, context engineering, agentic tool usage, and foundational AI/ML principles.
  • Deep knowledge and operational experience using 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, including data protection, access controls, and threat modeling.
  • Understanding of AI-specific security challenges such as prompt injection, data poisoning, supply chain security, and model extraction attacks.
  • Preferred 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.
  • Familiarity with red teaming of agentic systems.
  • Experience with policy as code languages like Cedar or Rego and IaC tools like AWS CloudFormation, Terraform, or OpenTofu.
  • Experience designing and implementing agentic AI architectures that balance security and autonomy.
  • Familiarity with MCP client/server architecture versus agentic skills and the associated security risks.

Benefits

  • Remote workforce primarily, with U.S.-based remote work and some travel or on-site requirements for certain Federal positions.
  • Group medical insurance options with significant employer premium contributions, including PPO and HDHP/HSA plans.
  • Group dental insurance with employer-paid premiums for employees and partial coverage for family plans.
  • 12 corporate holidays plus a Flexible Time Off (FTO) program.
  • Healthy mobile phone and home internet allowance.
  • Eligibility for the retirement plan after 2 months at open enrollment.
  • Pet benefit option.

Interested in this position?

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