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Rithum

Staff Information Security Engineer - AI First

RemoteUnited States only
Published
Role
Security
Experience
Staff
Employment
Full-time
$170k–$220k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff Information Security Engineer needed to design security guardrails for AI-powered products and build automated security tooling. Requires 5+ years of security engineering experience with AI/ML security depth, hands-on identity and access expertise, and cloud security knowledge. Must be proficient in scripting for automation and infrastructure-as-code.

Core skills

AI SecurityLLM SecurityAutomation

Required skills

AI/ML securityprompt injectionmodel supply chainadversarial inputsRAGChatGPTCopilotClaudeOpenAIAnthropicLangChainidentity and access managementTerraformOPA/RegoPythonAWSOWASP Top 10OWASP LLM/GenAI Top 10secure SDLCSTRIDEPASTASIEMCSPMDAST/SASTvulnerability scannersSOC 2ISO 27001

Optional skills

AI agents in productionGDPRCCPAprivacy-by-designDPIAsRed teamingadversarial ML researchprivileged-access management

Required languages

English

What you'll do

  • Act as the bridge between architectural intent and operational reality; mediate conflicts between security requirements and feasible implementation, propose compensating controls where gaps exist and help register, track and remediate residual risks.
  • Implement preventive, default-on security controls across cloud and enterprise environments, codified as policy- and infrastructure-as-code so security is enforced by design, including controls that govern how AI tools and models may be used.
  • Implement and enforce identity and access controls to an agreed standard, including access boundaries for AI systems and non-human/agent identities by partnering with Platform Engineering and IT to align tooling and policy to the architecture.
  • Assist in maintaining the InfoSec risk register; track emerging threats and translate them into actionable guidance for engineering teams.
  • Support third-party and vendor risk assessments, with a focus on vendors who process data through AI pipelines.
  • Automate repetitive security workflows (evidence collection, access reviews, alert enrichment) and build or operate AI-assisted security agents — with human-in-the-loop approval gates, least-privilege credentials, and explicit attention to each agent's own blast radius.
  • Integrate security tooling (SIEM, CSPM, DAST/SAST, vulnerability scanners) with LLM layers to surface actionable insight and automated responses.
  • Define and enforce security requirements for AI-powered features: model access controls, prompt-injection mitigations, output validation, and data-handling boundaries.
  • Conduct threat modelling on agentic and LLM-based systems, accounting for novel attack surfaces such as tool misuse, indirect prompt injection, and supply chain risk.

What they require

  • 5+ years of security engineering experience with demonstrated AI/ML security depth (prompt injection, model supply chain, adversarial inputs, RAG).
  • Experience using AI tools (ChatGPT, Copilot, Claude, etc.) and LLM frameworks and APIs (OpenAI, Anthropic, LangChain, or similar) to accelerate and elevate your work.
  • Hands-on identity and access expertise across modern enterprise and cloud identity stacks, including access models for AI systems and non-human identities.
  • Infrastructure and policy-as-code (e.g. Terraform, OPA/Rego) and proficiency in a scripting language for automation (Python preferred).
  • Cloud security expertise: AWS Solutions Architect / Security Specialty or equivalent demonstrated expertise, including multi-account governance, preventive guardrails, and policy-as-code.
  • Application security (OWASP Top 10 and the OWASP LLM/GenAI Top 10, secure SDLC) and threat-modelling methodologies (STRIDE, PASTA, or equivalent).
  • Practical experience building or operating AI agents, and integrating security tooling (SIEM, CSPM, SAST/DAST/SCA) so it surfaces action rather than raw alerts.
  • Working knowledge of SOC 2 and/or ISO 27001 control frameworks.
  • Preferred Qualifications: Experience building or operating AI agents in a production environment.
  • Awareness of privacy regulation (GDPR/CCPA) as it touches AI including privacy-by-design and DPIAs.
  • Red teaming or adversarial ML research backgrounds.
  • Experience implementing privileged-access, key-management, posture-management, or data-protection programs.
  • Experience with EDR, CASB, DLP, Security automation and SAST, DAST, IAST and SCA tools.
  • Cloud Architecture or Security certifications (CCSK, TAISE, AWS).
  • Up to 10% Travel Required
  • Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Benefits

  • Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
  • A 6% 401(k) match
  • Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
  • 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
  • Accident, critical illness, and hospital indemnity insurance
  • Pet insurance
  • Legal assistance and identity theft insurance plans
  • Life insurance 2x salary
  • Access to the Calm app and the Employee Assistance Program
  • $65/month Remote work stipend for internet
  • Culture and team-building activities
  • Tuition assistance
  • Career development opportunities
  • Charitable contribution match up to $250 per year
E CommerceMid-size
$170k–$220k/yr