1 Π΄Π΅Π½Ρ Π½Π°Π·Π°Π΄
Senior AI Security Engineer
136Β 076 - 213Β 834$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior AI Security Engineer (AI Security): Securing enterprise AI technologies, AI-powered development tools, and cloud-native integrations with an accent on AI risk assessment, governance, and practical security controls. Focus on mitigating prompt injection, data leakage, excessive permissions, insecure outputs, and agent abuse while enabling secure AI adoption across the software development lifecycle.
Location: Remote, United States (Massachusetts)
Salary: $136,076.50β$213,834.50 annually
Company
provides flexible application-building products that help organizations manage operations and connect people, information, and processes.
What you will do
- Act as the primary security contact for enterprise AI technologies and internal AI adoption initiatives.
- Assess security, privacy, compliance, and data protection risks across AI tools, assistants, copilots, agents, and AI-enabled workflows.
- Define guardrails and security controls for AI deployments, AI-generated code, developer AI tooling, and agent-based automation.
- Partner with Engineering, Product Security, Legal, Privacy, Compliance, IT, and Security Operations teams on AI governance and architecture reviews.
- Monitor emerging AI threats and regulations, conduct AI risk assessments, and improve visibility into AI adoption and related risks.
- Evaluate AI security technologies and develop automation that improves governance, visibility, and security outcomes.
Requirements
- 4β7 years of experience in security engineering, application security, product security, cloud security, DevSecOps, information security, or a related discipline.
- Experience conducting security assessments, architecture reviews, technology evaluations, or risk assessments.
- Working knowledge of generative AI, large language models, AI agents, copilots, and AI-powered development tools.
- Understanding of AI security risks including data leakage, prompt injection, excessive permissions, insecure outputs, model misuse, and agent abuse.
- Experience with AWS, Azure, and/or GCP, plus familiarity with APIs, CI/CD pipelines, modern software development, and application security.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Nice to have
- Experience with enterprise AI adoption, AI governance, AI risk management, or AI security programs.
- Experience with ChatGPT Enterprise, Claude Enterprise, GitHub Copilot, Microsoft Copilot, Gemini, or similar platforms.
- Familiarity with NIST AI RMF, ISO 42001, OWASP Top 10 for LLM Applications, MITRE ATLAS, or responsible AI principles.
- Experience evaluating AI vendors, AI-enabled SaaS platforms, or emerging technologies.
- Experience in SaaS, cloud-native, or high-growth technology organizations.
Culture & Benefits
- Full-time role with medical, dental, and vision coverage.
- 401(k) plan with company matching.
- Annual incentive plan based on individual performance and company goals.
- Commitment to thoughtful AI use, accountability, data integrity, diversity, and inclusion.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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