Opportunity at
FaireSenior Security Engineer - Enterprise AI
Faire operates a global technology wholesale platform that connects independent boutique retailers with international product suppliers, utilizing data and machine learning to support local entrepreneur communities.…
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About This Role
Faire operates a global technology wholesale platform that connects independent boutique retailers with international product suppliers, utilizing data and machine learning to support local entrepreneur communities. The company is seeking a Senior Security Engineer to join its Enterprise Security division in San Francisco on a full-time basis. This role focuses on Enterprise AI and suits professionals who want to build hands-on technical guardrails and direct platforms rather than simply writing…
Job Description
Faire operates a global technology wholesale platform that connects independent boutique retailers with international product suppliers, utilizing data and machine learning to support local entrepreneur communities. The company is seeking a Senior Security Engineer to join its Enterprise Security division in San Francisco on a full-time basis. This role focuses on Enterprise AI and suits professionals who want to build hands-on technical guardrails and direct platforms rather than simply writing policies. The position requires managing artificial intelligence administration, establishing safety standards, and ensuring secure technology acceleration across the business.
As part of the enterprise security group, the person in this role will oversee corporate platforms, define access controls, and design system visibility. Responsibilities include shaping secure developer environments, building usage monitoring pipelines, evaluating emerging platform features, and advising leadership and engineering teams on risk management. The ideal candidate enjoys tackling complex platform architecture challenges and brings a strong background in infrastructure, platform, or security engineering.
Responsibilities
- Manage administration of artificial intelligence platforms including Anthropic, OpenAI, Portkey, and Fireworks
- Control model availability, handle operational spend, and oversee agentic identity and audit logging
- Establish Model Context Protocol standards and build custom implementations internally
- Develop technical guardrails for secure usage, such as prompt injection detection and blast radius controls
- Create evaluation frameworks and repeatable assessments to determine if new tools meet security standards
- Design secure developer environments and sandboxed setups for safe experimentation
- Provide reference patterns and paved roads for engineering teams building agentic workflows
- Build monitoring dashboards and data pipelines using tools like Datadog, Snowflake, and Mode
- Produce guidance and best practices for artificial intelligence adoption across different departments
- Assess evolving platform capabilities and agent frameworks for security implications and business value
Requirements
- Minimum of 5 years of professional background in security, platform, infrastructure, or IT engineering
- Demonstrated experience with platform governance, access management, and operational health at scale
- Proficiency in at least one object-oriented programming language such as Python, Go, Ruby, or Java
- Experience designing scalable internal infrastructure and solving problems at the platform level
- Familiarity with observability or SIEM solutions like Datadog or Splunk for compliance and monitoring
- Proven track record of managing technical workstreams independently from start to finish
- Ability to contribute risk assessments and recommendations that guide leadership decisions
- Strong collaboration skills for working with both technical and non-technical stakeholders
Qualifications
- Understanding of large language model internals, transformer architectures, and tokenization
- Prior background in artificial intelligence governance, enablement, or platform management
- Familiarity with security considerations like data residency, data loss prevention, and OAuth scoping
- Experience supporting engineering teams building agentic workflows or product features
- Background in high-growth or startup environments working on zero-to-one initiatives
- Specific familiarity managing platforms such as Claude.ai, Anthropic Console, OpenAI Console, ChatGPT Enterprise, or Glean
Core Skills
Benefits
- Competitive base pay
- Equity grants
- Comprehensive employee benefits
- Access to enterprise artificial intelligence tools
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
This is a full-time position.
Where is the job located and what is the remote work policy?
The role is based in San Francisco on a hybrid schedule. Employees work from the office three days per week on Tuesdays, Thursdays, and a third flexible day of their choosing, with the option to work remotely up to four weeks per year.
What is the salary range for this role?
The annual base pay for this San Francisco position ranges from $174,500 to $240,000, determined by factors such as transferable skills, experience, and market demands.
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