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

3 months, 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.
  • Advise on securely integrating SaaS AI services and APIs into enterprise applications, including safe handling of credentials, outputs, and user data.
  • Evaluate and recommend data security and privacy controls for data ingestion pipelines, RAG architectures, and vector databases.
  • 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 security 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, capability maturity assessments, and investment recommendations.
  • Develop and deliver training and awareness content on AI risks, responsible AI use, 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 operational experience with agentic coding assistants such as Claude Code, Open Code, Cursor, or Codex.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts to technical and non-technical audiences.
  • 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 include AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect.
  • Experience with model fine-tuning techniques is preferred.
  • Familiarity with red teaming of agentic systems is preferred.
  • Experience with policy-as-code tools such as Cedar or Rego and IaC tools such as AWS CloudFormation, Terraform, or OpenTofu is preferred.
  • Experience designing agentic AI architectures that balance security and autonomy is preferred.
  • Familiarity with MCP client/server architecture versus agentic skills and the related security risks is preferred.

Benefits

  • Remote-first workforce for U.S.-based employees, with some travel required for certain roles and possible onsite work for Federal positions.
  • Group medical insurance options, including a zero-deductible PPO plan or a high-deductible HSA plan with substantial employer premium contributions.
  • Group dental insurance with 100% of employee premiums covered and 75% of family plan premiums covered.
  • 12 corporate holidays plus a Flexible Time Off (FTO) program.
  • Mobile phone and home internet allowance.
  • Eligibility for the retirement plan after 2 months at open enrollment.
  • Pet benefit option.

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