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. Responsibilities 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 Minimum Qualifications 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 The Ideal Candidate 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 #J-18808-Ljbffr