AI Deployment Engineer

📋 Description

• Serve as primary technical SME post-sale for customers.
• Identify, prioritize, validate high-value GenAI use cases.
• Provide architectural guidance and hands-on prototypes for production.
• Maintain relationships with leadership and technical teams to drive adoption.
• Contribute to open-source resources and enterprise docs.
• Share learnings with internal teams to inform product.
• Codify knowledge to scale impact across industries.

🎯 Requirements

• 5+ years in technical consulting or post-sales engineering.
• Strong communicator for exec and practitioner audiences.
• Experience leading GenAI or ML deployments, including infrastructure.
• Proficiency in Python, JavaScript, or similar.
• End-to-end ownership and proactive learning to drive success.
• Humble, collaborative mindset to support teammates and customers.
• Thrive in fast-paced environments managing multiple workstreams for impact.

🎁 Benefits

• Hybrid work model (3 days/week in office) with relocation assistance.
• Opportunity to work with OpenAI GenAI tech and customer deployments.