Staff AI Platform Engineer, Corporate AI Systems
Cribl
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $169,000 - $235,000 per year
Job Level
About the role
- Define and own the architecture for Cribl’s internal AI platform, LLM deployments, MCP gateway design, orchestration patterns, and the shared services required to run AI use cases safely at scale
- Establish the identity and access model for AI systems, including distinct non-human identities, scoped credentials, audit logging, cost controls, and token governance infrastructure that supports least-privilege access
- Build safe, reusable sandbox environments and self-service patterns that allow business and technical teams to experiment with AI inside a governed framework rather than through ad hoc or unapproved tooling
- Design the connective tissue between AI tooling and Cribl’s enterprise systems, helping define secure patterns for integrating with platforms such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, Glean, and other business-critical tools
- Work hand in hand with the AI Security team to ensure secrets management, MCP governance, prompt-injection defenses, AI telemetry, and compliance-ready controls are built into the platform
- Stand up the platform capabilities needed for AI-accelerated development, including AI coding infrastructure and guardrails, DevOps pipeline integration, and secure workflows that help builders move faster without compromising quality or security
- Define and track the metrics that matter most for a shared AI platform, including platform availability, reliability, usage, adoption, guardrail effectiveness, cost efficiency, and time to enable new use cases
- You may be required to occasionally perform duties outside your standard working hours
Requirements
- 7+ years of experience in software engineering, platform engineering, infrastructure engineering, internal developer platforms, or closely related technical roles
- Strong hands-on experience with modern LLM and agentic systems, including enterprise AI platforms, API-driven model integration, retrieval patterns, and the practical realities of getting AI safely into production
- Proven experience with OAuth, service identities, RBAC / ABAC / scoped permissions, auditability, secrets management, and secure-by-default architecture patterns
- Experience designing and operating integrations across enterprise systems, APIs, workflow platforms, and event-driven architectures in complex SaaS environments
- Ability to balance speed, reliability, usability, and governance
- Strong written and verbal communication skills, with the ability to simplify complex technical tradeoffs for business leaders, security partners, and technical peers alike
- Comfortable creating the first version of the operating model, the runbooks, the patterns, and the platform itself
- Care about measurable business impact, not just elegant architecture
Benefits
- health, dental, vision, short-term disability, and life insurance
- paid holidays and paid time off
- fertility treatment benefit
- 401(k)
- equity
- eligibility for a discretionary company-wide bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringplatform engineeringinfrastructure engineeringLLM systemsAPI integrationOAuthRBACABACsecrets managementevent-driven architecture
Soft Skills
communication skillsability to simplify complex conceptsbalancing speed and reliabilitygovernance awarenessmeasurable business impact