Enterprise AI Engineer
Sembi
- Location
- Location not stated
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead the technical vision, design and operation of the company’s AI gateway and core AI enablement platform
- Define and implement standards for approved AI providers, models, data sources, shared tools and usage patterns
- Build and maintain controls for access, routing, policy enforcement, auditability and financial operations reporting across AI usage
- Implement required identity, logging and related controls in alignment with broader IT and security standards
- Partner through the AI Enablement Council to translate business needs into scalable platform capabilities and guardrails
- Support onboarding, documentation and internal enablement for business teams using approved AI tooling
- Evaluate gateway platforms and ecosystem capabilities to improve flexibility, governance and business value
- Drive reliable platform operations, issue resolution and continuous improvement across the AI environment
Requirements
- 4+ years of experience in platform engineering, infrastructure engineering, security engineering or a related technical role
- Experience implementing scalable technical solutions that balance usability, governance and security
- Hands-on experience with LLM infrastructure, AI gateways, AI workflow platforms or similar AI enablement technologies
- Experience with access controls, identity integration, logging, API-based platforms and financial or usage reporting
- Ability to define standards, make sound technical decisions independently and execute in a cross-functional environment
- Strong written and verbal English communication skills
- Demonstrated ownership, reliability, curiosity and sound judgment
Skills
- LLM
- AI gateways
- AI workflow platforms
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