# AI Security Engineer - North Central region (Remote in the U.S.) **Company**: GuidePoint Security **Location**: Remote **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Category**: Security **Industry**: Consulting **Apply**: https://job-boards.greenhouse.io/guidepointsecurity/jobs/6216717004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_eddf353d-27a ## Description GuidePoint Security is seeking a skilled AI Security Engineer to join its growing AI Security Services team within the Automation and AI Practice. You will assist customers in the design, implementation, security, and operational management of generative AI security solutions. **Responsibilities:** - Conduct secure configuration reviews and security assessments of enterprise AI platforms against established control domains - Lead threat modeling exercises specific to AI workloads, covering prompt injection, model inversion, data poisoning, and supply chain risks - Assess AI coding tools and development environments for sandbox isolation, plugin allowlisting, secrets access, and network egress controls - Advise client teams 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 unauthorised data exposure - Conduct shadow AI discovery engagements to inventory unsanctioned AI tool usage and assess associated data exposure risks - Evaluate security controls and guardrails across AI platforms, including identity and access management, DLP integration, and SIEM and logging configurations - Design, build, and deploy AI agent workflows, including use-case design, agent architecture, and integration with security tooling and automation platforms - Perform security architecture reviews for organisations deploying AI agents - Develop and deliver engagement artifacts, including secure configuration review reports, prioritised findings registers, and reference architectures - Contribute to the development of long-term AI security strategies for clients - Collaborate with stakeholders, including business stakeholders, AI/ML engineers, IT operations, and information security teams - Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security 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 - Familiarity with major cloud service provider AI-focused services - Solid understanding of generative AI concepts, Large Language Models, context engineering, agentic tool usage, and foundational AI/ML principles - Operational experience in the usage of agentic coding assistants - Understanding of AI-specific security challenges - Ability to produce professional client-facing deliverables - Strong written and verbal communication skills **Preferred Experience and Education:** - Certifications such as AWS Certified AI Practitioner or Azure AI Engineer Associate - Understanding or experience with model fine-tuning techniques - Experience with policy as code languages or Infrastructure as Code tools - Experience designing and implementing agentic AI architectures that balance security and autonomy - Familiarity with MCP client/server architecture and associated security risks - Experience with AI security tooling categories - Prior experience in a consulting, professional services, or managed services delivery model with direct client engagement **Benefits:** - Remote workforce primarily - Group Medical Insurance options - Group Dental Insurance - 12 corporate holidays and a Flexible Time Off programme - Healthy mobile phone and home internet allowance - Eligibility for retirement plan after 2 months at open enrollment - Pet Benefit Option ## Skills ### Required - cloud security - application security - generative AI - Large Language Models - agentic AI solutions - AI security - threat modeling - security architecture ### Nice to have - AWS Certified AI Practitioner - Azure AI Engineer Associate - model fine-tuning techniques - policy as code languages - Infrastructure as Code tools - agentic AI architectures - AI security tooling categories --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/guidepointsecurity/jobs/6216717004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)