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Staff Information Security Engineer - AI First

5 hours, 29 minutes ago
United States
Full-time
Senior
AI Engineer
Artificial Intelligence and Machine Learning
AWS LLM Python SIEM Terraform
Apply Now
Rithum

Rithum

End to End E Commerce Solutions for Brands & Retailers | Rithum CommerceHub and ChannelAdvisor are now united as Rithum. We empower top brands, suppliers, and retailers with durable, profitable e commerce solutions. Rithum is the hottest place for free...

Internet Software & Services
$13M raised
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Description

  • Act as the bridge between architectural intent and operational reality, resolving gaps between security requirements and feasible implementation.
  • Implement preventive, default-on security controls across cloud and enterprise environments using policy-as-code and infrastructure-as-code.
  • Implement and enforce identity and access controls, including boundaries for AI systems and non-human identities.
  • Maintain the information security risk register and translate emerging threats into actionable guidance for engineering teams.
  • Support third-party and vendor risk assessments, especially for vendors that process data through AI pipelines.
  • Automate repetitive security workflows such as evidence collection, access reviews, and alert enrichment.
  • Build or operate AI-assisted security agents with human-in-the-loop approval gates and least-privilege access.
  • Integrate security tooling such as SIEM, CSPM, DAST/SAST, and vulnerability scanners with LLM layers to surface actionable insight.
  • Define and enforce security requirements for AI-powered features, including model access controls, prompt-injection mitigations, output validation, and data-handling boundaries.
  • Conduct threat modeling for agentic and LLM-based systems, including tool misuse, indirect prompt injection, and supply chain risk.

Requirements

  • 5+ years of security engineering experience with demonstrated AI/ML security depth, including prompt injection, model supply chain, adversarial inputs, and RAG.
  • Experience using AI tools such as ChatGPT, Copilot, or Claude, and LLM frameworks/APIs such as OpenAI, Anthropic, or LangChain.
  • Hands-on identity and access expertise across modern enterprise and cloud identity stacks, including access models for AI systems and non-human identities.
  • Experience with infrastructure-as-code and policy-as-code tools such as Terraform and OPA/Rego, plus proficiency in a scripting language for automation, with Python preferred.
  • Cloud security expertise, including AWS Solutions Architect or Security Specialty-level knowledge, multi-account governance, preventive guardrails, and policy-as-code.
  • Application security knowledge covering OWASP Top 10, OWASP LLM/GenAI Top 10, secure SDLC, and threat modeling methodologies such as STRIDE or PASTA.
  • Practical experience building or operating AI agents and integrating security tooling such as SIEM, CSPM, SAST/DAST/SCA so it produces action rather than raw alerts.
  • Working knowledge of SOC 2 and/or ISO 27001 control frameworks.
  • Experience building or operating AI agents in a production environment, preferred.
  • Awareness of privacy regulations such as GDPR and CCPA as they relate to AI, including privacy-by-design and DPIAs, preferred.
  • Red teaming or adversarial ML research background, preferred.
  • Experience implementing privileged access, key management, posture management, or data protection programs, preferred.
  • Experience with EDR, CASB, DLP, security automation, and IAST tools, preferred.
  • Cloud architecture or security certifications such as CCSK, TAISE, or AWS, preferred.
  • Travel up to 10%.

Benefits

  • Base salary range of $170,000 to $220,000 per year.
  • Discretionary bonus of 12% of annual base salary for non-sales roles.
  • Comprehensive benefits package.
  • Medical, dental, and vision coverage with company HSA contributions starting on Day 1.
  • 6% 401(k) match.
  • Generous time off, including 20 PTO days, 9 company-paid holidays, 2 floating holidays, 7 sick days, 2 wellness days, and 1 paid volunteer day, with PTO increasing to 22 days at 3 years and 25 days at 5 years.
  • 12 weeks of primary caregiver leave and 4 weeks of secondary caregiver leave.
  • Remote-first working conditions with a $65/month internet stipend.
  • Access to the Calm app and the Employee Assistance Program.
  • Tuition assistance and career development opportunities.
  • Charitable contribution match up to $250 per year.

Interested in this position?

Apply directly on the company website

Apply Now

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