AI Architect

Responsibilities

• Champion AI adoption across Engineering and challenge existing practices
• Design production-ready AI architectures including model integration, RAG, and agent orchestration
• Implement agentic workflows and AI-enabled development and testing practices
• Prototype solutions, guide implementation, and remove engineering barriers
• Ensure security, privacy, governance, evaluation, observability, and cost standards
• Mentor developers and build internal AI champions
• Track engineering efficiency, solution quality, reliability, and cost

Requirements

• Proven experience building and operating AI or ML solutions in production
• Deep practical expertise in production LLM applications, retrieval, and orchestration
• Strong cloud architecture, API, data platform, and security engineering skills
• Experience with agentic workflows delivering measurable productivity gains
• Ability to translate product and business requirements into scalable solutions
• Track record of driving technical change and influencing without direct authority
• Strong architectural judgment balancing speed, scalability, security, and cost
• Excellent communication and mentoring skills

Preferred Qualifications

• Experience with hosted and open-source AI model ecosystems
• Experience establishing enterprise AI architecture and governance
• Experience applying AI to software development and quality engineering
• Experience leading engineering modernization across multiple teams
• Experience with Azure, .NET/C#, TypeScript, vector databases, and containers

About the Company

Schneider Geospatial is a PE-backed GovTech SaaS company whose GIS-based solutions serve over 1,000 local governments across 34 states. Recognized as a Great Employer to Work For and named GovTech 100 for four consecutive years.