[Hiring] Staff Information Security Engineer @Rithum LinkedIn Board

Role Description

As a Staff AI-First Information Security Engineer, you own the intersection of AI adoption and information security:

• Designing guardrails for AI-powered products
• Building automated security tooling
• Designing security controls and monitoring for an AI-First workforce
• Helping every team at Rithum move fast without creating risk they cannot see

This is not a typical security role. You spend as much time building and automating as you do reviewing:

• Turning a repeating control into infrastructure-as-code
• Transforming a manual review into a workflow
• Converting a vague AI risk into concrete, enforced guardrails

You work autonomously, balancing research with fast-paced delivery, and collaborating closely with:

• Platform Engineering
• IT
• Security Champions
• External auditors

Responsibilities

• Act as the bridge between architectural intent and operational reality
• Mediating conflicts between security requirements and feasible implementation
• Proposing compensating controls where gaps exist
• Helping register, track and remediate residual risks
• Implementing preventive, default-on security controls across cloud and enterprise environments
• Codifying security controls as policy- and infrastructure-as-code
• Enforcing identity and access controls to an agreed standard
• Partnering with Platform Engineering and IT to align tooling and policy to the architecture
• Assisting in maintaining the InfoSec risk register
• Tracking emerging threats and translating them into actionable guidance for engineering teams
• Supporting third-party and vendor risk assessments
• Automating repetitive security workflows
• Building or operating AI-assisted security agents
• Integrating security tooling with LLM layers
• Defining and enforcing security requirements for AI-powered features
• Conducting threat modelling on agentic and LLM-based systems

Qualifications

• 5+ years of security engineering experience with demonstrated AI/ML security depth
• Experience using AI tools and LLM frameworks and APIs
• Hands-on identity and access expertise across modern enterprise and cloud identity stacks
• Infrastructure and policy-as-code proficiency
• Cloud security expertise
• Application security and threat-modelling methodologies experience
• 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 as it touches AI
• Red teaming or adversarial ML research backgrounds
• Experience implementing privileged-access, key-management, or data-protection programs
• Experience with EDR, CASB, DLP, Security automation and SAST, DAST, IAST and SCA tools
• Cloud Architecture or Security certifications

Travel Required

• Up to 10%

Benefits

• Medical, dental and vision benefits
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off
• 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