AI-First Information Security Engineer

Rithum

United States

Remote

USD 170,000 - 220,000

Full time

45 hours ago
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Benefits offered by this job

Health benefits
401(k) match
Paid time off
Remote work stipend
Wellness days

Job summary

Rithum is seeking a Staff AI-First Information Security Engineer to own AI adoption and information security, building guardrails for AI-powered products and automating security tooling. You will work with Platform Engineering, IT, Security Champions, and auditors in a fast-paced, autonomous role.

You will design and enforce security controls across AI systems, implement policy-as-code, and translate risks into concrete actions while balancing research and delivery.

Qualifications

  • 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).
  • 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).
  • Working knowledge of SOC 2 and/or ISO 27001 control frameworks.

Responsibilities

  • 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.

Skills

AI/ML security
IAM/Access control
Terraform
Cloud security AWS
App security
Threat modelling

Tools

ChatGPT
Copilot
LangChain

Job description

Rithum is seeking a Staff AI-First Information Security Engineer to own AI adoption and information security, building guardrails for AI-powered products and automating security tooling. You will work with Platform Engineering, IT, Security Champions, and auditors in a fast-paced, autonomous role.

You will design and enforce security controls across AI systems, implement policy-as-code, and translate risks into concrete actions while balancing research and delivery.

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