AI Security Engineer

GuidePoint Security is seeking a skilled AI Security Engineer to join our growing AI Security Services team. You will be instrumental in assisting customers with the design, implementation, security, and operational management of generative AI security solutions, working closely with cross-functional teams to deliver holistic and secure outcomes.

General Description:

GuidePoint Security is a trusted cybersecurity expert providing solutions and services to help organizations make better decisions and minimize risk. We employ a three-tiered, holistic approach to evaluate security posture and ecosystems, enabling top organizations to identify threats, optimize resources, and integrate best-fit solutions.

Roles and Responsibilities:

• AI Security Architecture & Assessment: Advise on and assess the security posture of AI/ML systems (LLMs, GenAI pipelines, model serving infrastructure), identifying vulnerabilities and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS).
• Threat Modeling for AI Systems: Lead threat modeling exercises for AI workloads, addressing adversarial inputs, prompt injection, model inversion, data poisoning, and supply chain risks across various deployment models.
• Secure AI Integration Guidance: Advise internal teams on securely integrating SaaS AI services and APIs (e.g., OpenAI, Azure OpenAI, Bedrock) into enterprise applications, ensuring safe handling of credentials, outputs, and user data.
• Data Security & Privacy Controls: Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure and leakage.
• Collaboration & Stakeholder Engagement: Serve as a trusted security advisor, bridging business stakeholders, AI/ML engineers, IT operations, and information security teams on AI risk and security matters.
• Stay Current on AI Threat Landscape: Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor advisories.
• Security Documentation & Standards: Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment.
• Strategic AI Security Roadmap: Contribute to the development of a long-term AI security strategy, including prioritized remediation roadmaps and capability maturity assessments.
• Security Awareness & Education: Develop and deliver training and awareness content on AI-specific risks, responsible AI usage, and secure development practices.

Required Experience:

• 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 service provider AI-focused services (AWS Bedrock, SageMaker, Azure AI Foundry, 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 with Agentic Coding assistants (e.g., Claude Code, Open Code, Cursor, 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 (e.g., prompt injection, data poisoning, supply chain security, model extraction attacks).

Preferred Qualifications:

• Certifications such as AWS Certified AI Practitioner/Machine Learning Engineer, Azure AI Engineer Associate, Claude Certified Architect.
• Understanding or experience with model fine-tuning techniques.
• Familiarity with red teaming of agentic systems.
• Experience with policy as code languages (Cedar, Rego) and Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).
• Experience designing and implementing agentic AI architectures balancing security and autonomy.
• Familiarity with MCP client/server architecture vs. agentic skills and associated security risks.

Why GuidePoint?

GuidePoint Security is a rapidly growing, profitable, privately-held value-added reseller focused exclusively on Information Security. Since 2011, we have grown to over 1,200 employees, partnered with leading security vendors, and serve as a trusted advisor to over 6,200 customers. Our core values drive our success and foster an enjoyable workplace atmosphere with knowledgeable, collaborative, and experienced colleagues.

Perks:

• Primarily remote workforce (U.S. based; some travel may be required).
• Comprehensive Group Medical Insurance options (Zero Deductible PPO or High Deductible Health Plan with HSA, with significant employer contributions).
• Group Dental Insurance (GuidePoint pays 100% of employee premiums, 75% for family).
• 12 corporate holidays and a 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.

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