
Principal AI Operations Specialist
6 days ago
Unlock the Power of AI in Operations
For the first time, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, this platform gives you complete visibility and control, significantly reducing manual workloads by automating and simplifying tasks.
The organization serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.
About the Role:You will play a crucial role in the success of Generative AI initiatives across the entire AI development lifecycle.
This includes evaluating new platforms, managing requests for new AI tools, developing, testing, and maintaining AI tools, and training end-users. You will be a key liaison between technical development and business needs, ensuring our AI tools are effectively implemented, maintained, and utilized across the organization.
Ensuring seamless collaboration between technical development and business needs is essential. This role demands a unique combination of analytical prowess, project management expertise, and a passion for applying AI to real-world business challenges.
Because we're tackling novel challenges with cutting-edge tools, comfort navigating ambiguity and thriving in a fast-paced environment are critical.
Key Responsibilities:- Manage the AI Solution Lifecycle: Oversee the intake of new AI use cases and tool requests, including initial grooming, viability research, platform compatibility assessment, and prioritization based on business impact and development effort.
- Develop New AI Tools: Rapidly prototype, develop, test (including prompt engineering/training), launch, and maintain (bug fixes, enhancements) new AI solutions.
- Supporting Processes: Develop, document, and enable users on any supporting processes. Ensure we have the infrastructure to implement and scale the solutions you build.
- Maintain Comprehensive Documentation: Meticulously document use cases, testing results, support processes, and other relevant information.
- Champion Continuous Improvement: Proactively identify opportunities to enhance existing AI tools and processes.
- Contribute to AI Strategy: Participate in the development and refinement of the overall AI strategy and roadmap. Act as an initial point of contact for business users regarding available AI tools, platforms, processes, and policies.
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