AI Security Engineer – Mid-Atlantic

🕒 Abril 21

🏛️ District of Columbia, New Jersey, +4 estados a mais – Remoto

🏛️ District of Columbia – Remote 🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🔔 Pennsylvania – Remote ⚔️ Virginia – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♂️ Cibersegurança / Engenheiro de Segurança

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GuidePoint Security

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🔒 Cibersegurança

Cybersecurity

A GuidePoint Security é uma empresa de cibersegurança que oferece serviços de consultoria, engenharia e serviços gerenciados para ajudar as organizações a protegerem seus ativos digitais. A empresa é especializada em segurança de aplicações, segurança em nuvem, proteção de dados, segurança de e-mails, inteligência contra ameaças e gerenciamento de identidade e acesso. Com soluções adaptadas para várias plataformas, incluindo AWS, Microsoft, Google Cloud e ambientes OT, a GuidePoint Security visa aprimorar a resiliência cibernética para clientes empresariais e governamentais. Eles focam em integrar tecnologias avançadas de segurança e fornecer expertise em avaliação de riscos, conformidade e educação em conscientização sobre segurança, ajudando os clientes a enfrentar desafios complexos de cibersegurança e melhorar sua postura de segurança.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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