AI Security Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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👻 Ghost score 10%

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GuidePoint Security

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

GuidePoint Security is a cybersecurity firm offering consulting, engineering, and managed services to help organizations secure their digital assets. The company specializes in application security, cloud security, data protection, email security, threat intelligence, and identity and access management. With solutions tailored to various platforms including AWS, Microsoft, Google Cloud, and OT environments, GuidePoint Security aims to enhance cybersecurity resilience for both enterprise and government clients. They focus on integrating advanced security technologies and providing expertise in risk assessment, compliance, and security awareness education, helping clients navigate complex cybersecurity challenges and improve their security posture.

📋 Description

• Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model-serving infrastructure • Identify vulnerabilities, attack surfaces, and gaps against frameworks such as OWASP LLM Top 10 and MITRE ATLAS • Lead threat modeling for AI workloads, including adversarial inputs, prompt injection, model inversion, data poisoning, and supply-chain risks • Advise on secure integration of SaaS AI services and APIs such as OpenAI, Azure OpenAI, and Bedrock • 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, regulatory developments, and vendor security advisories • Produce and maintain security architecture documentation, risk assessments, control frameworks, and AI security guidelines • Contribute to AI security strategies, remediation roadmaps, maturity assessments, and investment recommendations • Develop and deliver training on AI-specific risks, responsible AI usage, and secure development practices • Collaborate with peers in AppSec, Cloud Security, Vulnerability Management, and Identity and Access Management • Assist customers with the design, implementation, security, and operational management of generative AI security solutions

🎯 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 within an enterprise context • Familiarity with 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 real operational experience using agentic coding assistants such as Claude Code, Open Code, Cursor, or Codex • Strong written and oral communication and interpersonal 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 including prompt injection, data poisoning, supply chain security, and model extraction attacks • Ability to embrace emerging technologies, including AI tools • Up to 10% travel • Sedentary work capability • Ability to perform substantial wrist, hand, and/or finger movement for at least 8 hours per day • Close visual acuity for computer terminal viewing and/or extensive reading for at least 8 hours per day • Preferred: AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect • Preferred: Understanding or experience with model fine-tuning techniques • Preferred: Familiarity with red teaming of agentic systems • Preferred: Experience with Cedar, Rego, AWS CloudFormation, Terraform, OpenTofu, or equivalent technologies • Preferred: Experience designing and implementing agentic AI architectures • Preferred: Familiarity with MCP client/server architecture and associated security risks

🏖️ Benefits

• Remote workforce primarily (U.S. based only) • Group Medical Insurance options: Zero Deductible PPO Plan with GuidePoint paying 90% of employee premiums and 70% of family premiums • High Deductible Health Plan with HSA, with GuidePoint paying 100% of employee premiums and 75% of family premiums • HSA contributions of $850 annually per employee or $1,750 annually per family plan • Group Dental Insurance with GuidePoint paying 100% of employee premiums and 75% of family premiums • 12 corporate holidays • Flexible Time Off (FTO) program • Healthy mobile phone allowance • Home internet allowance • Eligibility for retirement plan after 2 months at open enrollment • Pet Benefit Option • Collaboration, mentorship, and guidance from knowledgeable colleagues