AI Security Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Assist customers with the design, implementation, security, and operational management of generative AI security solutions • Conduct secure configuration reviews and security assessments of enterprise AI platforms • Lead threat modeling exercises for AI workloads • Assess AI coding tools and development environments for sandbox isolation, plugin allowlisting, secrets access, network egress controls, and CI/CD security • Advise clients on securely integrating SaaS AI services and APIs into enterprise applications • Evaluate controls for data ingestion pipelines, RAG architectures, and vector databases • Conduct shadow AI discovery engagements • Evaluate AI platform security controls and guardrails, including IAM, DLP, conditional access, SIEM, logging, human-in-the-loop mechanisms, and runtime protections • Design, build, and deploy AI agent workflows • Perform security architecture reviews for AI agent deployments and deliver reference architectures and recommendations • Develop secure configuration review reports, findings registers, AI security control matrices, reference architectures, risk assessments, control frameworks, and enablement roadmaps • Contribute to clients’ long-term AI security strategies, maturity assessments, and investment recommendations • Serve as a trusted advisor to business, AI/ML, IT operations, and information security stakeholders • Conduct stakeholder interviews and facilitate knowledge-transfer sessions • Monitor emerging AI security research, adversarial techniques, regulatory developments, and vendor advisories

🎯 Requirements

• 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 • Experience with enterprise AI platforms such as Anthropic Claude, OpenAI, or Microsoft Copilot • Familiarity with AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex • Solid understanding of generative AI concepts, LLMs, context engineering, agentic tool usage, and foundational AI/ML principles • Operational experience using 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 chaining • Ability to produce client-facing assessment reports, findings registers, control matrices, and reference architecture documentation • Strong written and verbal communication skills • Preferred: AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer, Azure AI Engineer Associate, or Claude Certified Architect • Preferred: model fine-tuning experience • Preferred: Cedar or Rego and IaC tools such as AWS CloudFormation, Terraform, or OpenTofu • Preferred: agentic AI architecture design and implementation • Preferred: MCP client/server architecture familiarity • Preferred: AI security tooling experience, including AISPM, AI runtime protection, or AI control plane platforms • Preferred: consulting, professional services, or managed services delivery experience • Up to 10% travel • Sedentary work • Substantial movement of wrists, hands, and/or fingers for at least 8 hours daily • Close visual acuity for computer terminals and/or extensive reading for at least 8 hours daily

🏖️ Benefits

• Remote workforce primarily (U.S. based only) • Group Medical Insurance options: Zero Deductible PPO Plan; GuidePoint pays 90% of the premium for employees and 70% for family plans, or High Deductible Health Plan with HSA; GuidePoint pays 100% of employee premiums and 75% for family plans • HSA contribution of $850 annually per employee or $1,750 annually per family • Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans • 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