
AI Implementation Specialist
2 days ago
This company empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable.
About This Role:As a Senior AI Operations Analyst, you will be key to the success of Generative AI initiatives across the entire AI development lifecycle. This includes evaluating new platforms, managing requests from the business for new AI tools, developing, testing, and maintaining AI tools, and training end-users.
Bridging the gap between technical development and business needs, you'll ensure our AI tools are effectively implemented and utilized. 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 essential.
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 Gem's, GPT's, and agent workflows.
- Manage supporting processes: As new AI tools are launched, develop, document, and enable users on any supporting processes. Ensure we have the infrastructure to implement + scale the solutions you build.
- Adaptability: Comfortable navigating ambiguity and thriving in a fast-paced, rapidly evolving environment. A 'can-do' attitude and a willingness to learn are essential.
- Passion and acumen for AI: You are obsessed with AI and its potential to transform business processes. You stay up-to-date with the latest AI trends and technologies and are a regular power user of platforms like Gemini, Notebook LM, Chat GPT, or Glean.
- Technical Aptitude: Comfortable working with technology and learning new tools quickly. Familiarity with APIs, scripting, or other technical skills is a plus, but not strictly required.
- Project Management Skills: Proven ability to manage projects from inception to completion, including requirements gathering, planning, execution, testing, and deployment. Experience with agile methodologies is a plus.
- Analytical Prowess: Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions and assess the viability of AI use cases. Data-driven decision-making is essential.
- Communication & Collaboration: Excellent communication (written and verbal) and interpersonal skills. Ability to effectively collaborate with cross-functional teams, including technical and non-technical stakeholders.
- Process Orientation: A natural inclination towards process improvement, documentation, and creating structure. Experience developing and implementing new processes is highly valued.
- Education: Bachelor's degree in a related field (e.g., Computer Science, Engineering, or related field required). Advanced degree preferred.
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