Staff Engineer, AI Enablement & Platform
New
L
LimeMicromobility
United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- SnowflakeJiraRESTful APIsZendesk
Requirements
- 8+ years of experience in IT Engineering, Systems Integration, or Automation
- High proficiency in AI-assisted development (e.g., using LLMs, Cursor, GitHub Copilot)
- Expertise in REST APIs, webhooks, and connecting enterprise systems (like Jira, Zendesk, or Snowflake)
- A "governance-first" mindset, understanding how to build secure, scalable frameworks for AI-generated code and enforce data privacy guardrails.
- Demonstrated ability to translate complex technical concepts into accessible training materials.
- Experience leading technology adoption or enablement programs.
- Ability to translate manual, heavy-lifting business workflows into automated, AI-assisted solutions that drive measurable ROI.
Responsibilities
- Lead the architecture and governance of Lime's enterprise AI ecosystem, developing a secure "Hub-and-Spoke" model for business units to safely deploy AI solutions.
- Design and engineer initial high-impact pilot use cases, including tools to accelerate month-end financial close processes and AI engines to parse complex city RFPs.
- Drive AI Enablement & Adoption: Design and execute a comprehensive internal training program and enablement strategy to ensure Limers are effectively utilizing approved GenAI tools.
- Partner with our Engineering team to maintain secure, air-gapped Isolated Exploration (Sandbox) environments to enable safe experimentation across Lime.
- Scale Continued Education: Build and maintain an internal repository of AI best practices, curated prompt libraries, and specialized training modules tailored to different departments.
- Measure Impact: Define and programmatically track key adoption and efficiency metrics, proving the ROI of our AI investments through baseline time-to-task comparisons.
- Partner closely with Identity & Access Management and Security teams to govern "Agent" access across functional systems and eliminate "shadow AI" risks.
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