Staff Information Security Engineer - AI First

Rithum LinkedIn Board

4d • $170,000 - $220,000 • Remote

About The Position

Rithum is seeking a Staff AI-First Information Security Engineer to own the intersection of AI adoption and information security. This role involves designing guardrails for AI-powered products, building automated security tooling, and establishing security controls and monitoring for an AI-First workforce. The engineer will help teams move fast without creating unseen risks by focusing on building and automating, turning repetitive controls into infrastructure-as-code, manual reviews into workflows, and vague AI risks into concrete, enforced guardrails. The role requires autonomous work, balancing research with fast-paced delivery, and close collaboration with Platform Engineering, IT, Security Champions, and external auditors.

Requirements

• 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.

Nice To Haves

• 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).

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed