Senior AI Learning Architect

Toyota North America; Plano (TX); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health care and wellness plans for the

401(k) with company match

Paid holidays and paid time off

Tuition reimbursement

Job summary

Toyota North America seeks a Senior Analyst, AI, to bridge learning science and AI. This role architects AI-augmented content workflows, sets prompt engineering standards, and builds governance ensuring AI content meets quality, accessibility, and brand standards.

You will pilot AI tools, define AI-to-LMS standards (SCORM 1.2/2004, xAPI), and develop internal AI capabilities for the L&D team, collaborating across IT and governance functions.

Qualifications

• Bachelor's degree or equivalent required.
• 5+ years learning technology/ID experience.
• 2 years AI/ML application experience.
• Experience with SCORM 1.2/2004, xAPI, LTI and LMS/LXP platforms.

Responsibilities

• Architect end-to-end AI-augmented content development workflows.
• Design and maintain an enterprise prompt library.
• Evaluate, pilot, and integrate AI-powered tools into the L&D tech stack.
• Establish AI content quality governance: accuracy, bias detection, accessibility, brand standards.
• Develop AI-to-LMS integration standards (SCORM 1.2/2004, xAPI).
• Build and deliver internal AI capability development programs for the L&D team.
• Partner with other L&D teams to advise where AI accelerates vs human-led design.
• Design measurement frameworks: time reduction, quality scores, cost-per-asset.
• Collaborate with Enterprise IT, InfoSec, and AI Governance on compliance.
• Lead POC initiatives for new AI learning technologies.

Job description

Toyota North America seeks a Senior Analyst, AI, to bridge learning science and AI. This role architects AI-augmented content workflows, sets prompt engineering standards, and builds governance ensuring AI content meets quality, accessibility, and brand standards.

You will pilot AI tools, define AI-to-LMS standards (SCORM 1.2/2004, xAPI), and develop internal AI capabilities for the L&D team, collaborating across IT and governance functions.