AI Solutions Architect (United States)

📋 Description

• Define AI testing offerings, packaging, and delivery model
• Decompose architectures into structured testing approaches
• Collaborate with sales and delivery to shape AI business
• Own catalog, staffing models, and pricing strategy
• Interface with data scientists and ML engineers on AI quality blueprints

🎯 Requirements

• Hands-on data science background and ML/NLP experience
• Experience with AI evaluation frameworks and metric-driven validation
• Familiarity with autonomous agent architectures and multi-agent systems
• Strong software engineering fundamentals for complex systems
• Proven client-facing experience and consultative selling/engagements

🎁 Benefits

• Fully remote work culture with global distribution
• Stock options and learning stipend
• Flexible paid time off and holidays
• Opportunity to influence AI product strategy and offerings