AI Automation lead

Position Overview

AI Automation Lead will have a strong background in artificial intelligence, database management, and automation for learning. This role involves developing and implementing AI techniques to create learning templates, customize and train generative pre-trained transformers (GPTs) for scalable content development, and enhance team functionalities through automation.

* This is a remote position.

• Design and build learning templates that streamline training processes and improve efficiency

• Customize and train GPT models to generate high-quality scalable content, ensuring alignment with company standards and requirements

• Utilize AI to automate repetitive tasks and processes, increasing overall team efficiency and output

• Work closely with cross-functional teams including learning experience design, service line/design, and content creation to ensure seamless integration of AI solutions

• Stay updated with the latest advancements in AI and apply innovative techniques to improve existing processes and develop new solutions

• Define and track key performance indicators (KPIs) to measure the impact of AI-driven automation on team functions and business goals

• Ensure AI solutions adhere to ethical guidelines and comply with relevant regulations and company policies

• Build and maintain a learning taxonomy database to improve team operations and production

• Mentor and coach team members in the adoption of AI methodologies to improve productivity overall

• A bachelor’s or master’s degree in Education, HCI, Computer Science, Data Science, AI/ML, or equivalent work experience

• 3+ years of experience in AI/ML development, automation, or related roles.

• Proven experience customizing and fine-tuning GPT or other large language models for enterprise use

• Hands-on experience with automation frameworks and workflow optimization

• Strong understanding of natural language processing (NLP) and generative AI models

• Experience with taxonomy work and JavaScript for Airtable scripting

• Familiarity with API integrations and workflow automation tools (Zapier, Make, Airtable etc.)

• Strong understanding of relational database concepts and data modeling

• Strong analytical and problem-solving abilities

• Excellent communication and collaboration skills for cross-functional work

• Ability to mentor and upskill team members in AI-driven processes

• Analytical advisor role that requires understanding of the theories and concepts of a discipline and the ability to apply best practices

• A common career stabilization point (AKA the “full-contributor” level) for Professional roles

• Require knowledge and experience such that the incumbent can understand the full range of relevant principles, practices, and practical applications within their discipline

• Solve complex problems of diverse scope by taking a new perspective on existing solutions and applying knowledge of best practices in practical situations

• Use data analysis, judgment, and interpretation to select the right course of action

• Apply creativity in recommending variations in approach

• “Connect the dots” of assignments to the bigger picture

• May lead projects or key elements within a broader project

• May also have accountability for leading and improving on-going processes

• Build effective relationships with more senior practitioners and peers, and build a network of external peers

• Work independently, with close guidance given at critical points

• May begin to act as a mentor or resource for colleagues with less experience