AI Adoption Engineer - AI Products & Platforms

Overview

AI Adoption Engineer to accelerate enterprise adoption of AI technologies and build reusable AI solutions, agents, and workflow automations.

What you'll do

• Drive adoption of ChatGPT, GitHub Copilot, Codex, and other AI tools.
• Build reusable AI solutions, agents, and workflow automations.
• Run technical workshops and mentor teams on AI best practices.
• Collaborate with Product and Engineering to scale AI adoption.
• Support cross-functional teams on AI use case execution with Codex and ChatGPT.
• Evaluate emerging AI technologies and build proof of concepts.
• Measure AI adoption and productivity improvements.

What you'll need

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 8 to 12 years of software engineering, AI, or machine learning experience.
• Strong Python programming experience.
• REST API development experience.
• Hands-on experience with LLMs and tools including ChatGPT, GitHub Copilot, and Codex (also Claude or similar).
• Experience building AI-powered applications and workflow automation.
• Knowledge of prompt engineering and AI enablement practices.
• Excellent communication, technical mentoring, and stakeholder management skills.

Nice to have

• Experience with ChatGPT Enterprise or custom GPTs/comparable generative AI platforms.
• Experience supporting technology adoption through training, office hours, or communities of practice.
• Familiarity with responsible AI, privacy, information security, or access management.
• Experience in biotechnology, pharmaceuticals, healthcare, or another regulated industry.

Details

• Required role activities include technical consulting, enablement, and innovation.