AI Security Engineer – Mid-Atlantic

Role Overview

• Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure — identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS)
• Lead threat modeling exercises specific to AI workloads, covering adversarial inputs, prompt injection, model inversion, data poisoning, and supply chain risks across SaaS, self-hosted, and local AI deployments.
• Advise internal teams on securely integrating SaaS AI services and APIs (e.g., OpenAI, Azure OpenAI, Bedrock) into enterprise applications, including safe handling of credentials, outputs, and user data.
• Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure, leakage through model outputs, or non-compliant data processing.
• Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams on all matters related to AI risk and security.
• Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories to keep client guidance relevant and proactive.
• Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment.
• Contribute to the development of a long-term AI security strategy, including prioritized remediation roadmaps, capability maturity assessments, and investment recommendations.
• Develop and deliver training and awareness content for technical and non-technical stakeholders on AI-specific risks, responsible AI usage, and secure development practices for AI-powered applications.

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 major cloud service provider AI-focused 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, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles
• Deep knowledge and real operational experience in the usage of Agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex
• Strong written and oral communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Demonstrated experience applying security principles to AI implementations, including data protection, access controls, and threat modeling for AI systems
• Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, and model extraction attacks

Tech Stack

• AWS
• Azure
• Cloud
• Python

Benefits

• Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options)
• Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
• 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