Senior AI Security Engineer — Enterprise Platform Guardian

Faire; California (MO); Hybrid; USD 175,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Hybrid work model

Remote work up to 4 weeks/year

Job summary

Faire is seeking a Senior Security Engineer focused on Enterprise AI to own the AI platforms we run on and implement guardrails enabling rapid yet safe AI adoption. You will collaborate across the company to govern model usage, spend, and security controls while designing scalable, reusable patterns for internal teams.

The role emphasizes building observability, policy enforcement, and secure experimentation environments, with a strong focus on risk assessments and technical leadership in a

Qualifications

• 5+ years of experience in security engineering, platform engineering, or related IT engineering.
• Experience with platform administration and governance at scale, including access controls and configurations.
• Proficiency in at least one OO programming language (Python, Go, Ruby, Java) for building integrations and tooling.
• Designing scalable internal systems and infrastructure, solving platform-level problems.
• Experience with observability or SIEM tooling (Datadog, Splunk) and building data pipelines for monitoring/compliance.
• Ability to own technical workstreams end to end and land them.
• Strong communication and collaboration with both technical and non-technical audiences.

Responsibilities

• Own administration of Faire's AI platforms (Anthropic, OpenAI, Portkey, Fireworks, etc.) and evaluate features as they launch.
• Partner with teams to control model availability, manage spend, and own MCPs, agentic identity, and audit logging.
• Centralize MCP standards and infrastructure and set internal launch standards for MCPs.
• Build guardrails for safe AI use, including LLM guardrails, prompt injection detection, and blast radius controls for autonomous agents.
• Serve as a key technical voice on security when evaluating new AI tools or data classifications.
• Design and maintain secure experimentation environments and guardrails for new AI coding tools and agents.
• Collaborate with engineering teams to provide reusable guardrails, reference patterns, and paved roads for AI features.
• Develop observability and spend visibility, collect platform logs, and build dashboards integrated with Datadog/Snowflake/Mode.

Skills

Security engineering

Platform governance

Python

Go

Datadog

Splunk

End-to-end ownership

Communication

Tools

Python

Go

Ruby

Java

Datadog

Splunk

Job description

Faire is seeking a Senior Security Engineer focused on Enterprise AI to own the AI platforms we run on and implement guardrails enabling rapid yet safe AI adoption. You will collaborate across the company to govern model usage, spend, and security controls while designing scalable, reusable patterns for internal teams.

The role emphasizes building observability, policy enforcement, and secure experimentation environments, with a strong focus on risk assessments and technical leadership in a