AI Architect

The Opportunity  

Schneider Geospatial is seeking a highly technical, action-oriented AI Architect to accelerate AI adoption, strengthen engineering capabilities, and transform how we build and deliver software. 

This is a hands-on technical leadership role for a builder and catalyst for change who turns emerging technology into measurable results. Reporting to the VP of Engineering and collaborating across AI, Data, and Product, you'll lead the technical architecture and implementation of scalable, secure AI solutions while advancing AI-enabled engineering practices. 

The ideal candidate brings a strong sense of urgency, sound technical judgment, and the ability to influence teams. Success requires challenging conventional thinking, accelerating execution, and empowering engineers to adopt new technologies while maintaining scalability, security, and quality. 

Why Join Us 

• Mission + Impact: Apply emerging technology to help local governments better serve their communities. 

• Ownership + Innovation: Shape Schneider's AI architecture and advance engineering capabilities across the organization. 

• Transformation + Influence: Drive meaningful change in how we develop, test, and deliver software. 

• Culture + Collaboration: Partner with talented Engineering, Product, and business leaders in a collaborative, growth-oriented environment. 

• Compensation + Opportunity: Competitive salary, comprehensive benefits, and the opportunity to make a lasting impact. 

What You'll Do 

• Drive engineering transformation: Champion AI adoption across Engineering, challenging existing practices and identifying opportunities to improve productivity, quality, and delivery speed. 

• Accelerate technical execution: Collaborate across AI, Data, Product, and Engineering to translate priorities into scalable, production-ready solutions, aligning implementation efforts to accelerate delivery and reduce duplication. 

• Architect scalable solutions: Design production-ready AI architectures, including model integration, RAG, agent orchestration, and data integration, emphasizing reusable services, interoperability, and engineering standards. 

• Modernize software development: Implement agentic workflows and AI-enabled development and testing practices that reduce repetitive work, improve engineering throughput, and create measurable efficiencies. 

• Lead through hands-on execution: Prototype solutions, guide implementation, resolve technical challenges, and remove barriers that slow engineering progress. 

• Ensure technical excellence: Implement security, privacy, governance, evaluation, observability, and cost-management standards in collaboration with relevant stakeholders. 

• Lead change and develop talent: Influence engineering teams, challenge conventional thinking, mentor developers, and build internal AI champions to accelerate adoption and strengthen organizational capabilities. 

• Demonstrate measurable impact: Track improvements in engineering efficiency, solution quality, reliability, and cost while connecting technical outcomes to customer and business value. 

What You Bring 

Required Qualifications 

• Proven experience designing, building, deploying, and operating AI or machine learning solutions in production. 

• Deep practical expertise in production LLM applications, retrieval, orchestration, and emerging AI technologies. 

• Strong hands-on engineering capabilities across cloud architecture, APIs, data platforms, security, and modern software development. 

• Experience implementing agentic workflows that deliver measurable improvements in engineering productivity, efficiency, or cost. 

• Demonstrated ability to translate product and business requirements into practical, scalable technical solutions. 

• Track record of driving technical or organizational change with urgency, accountability, and the ability to influence without direct authority. 

• Strong architectural judgment, balancing speed, scalability, security, quality, and cost. 

• Excellent communication, collaboration, and mentoring skills, with the ability to partner effectively across Engineering, Product, and other technical functions. 

Preferred Qualifications 

• Experience across hosted and open-source AI model ecosystems. 

• Experience establishing enterprise AI architecture, governance, and reusable engineering frameworks. 

• Experience applying AI to software development, quality engineering, and operational automation. 

• Experience leading engineering modernization or AI adoption initiatives across multiple teams. 

• Ability to connect technical investments to engineering efficiency, customer value, and business performance. 

• Experience with Azure, .NET/C#, TypeScript, relational and vector databases, hybrid search, containers, and enterprise security. 

Your Future with Us 

As AI Architect, you'll help modernize Schneider's engineering practices and scale AI capabilities. Working across technical and product teams, you'll shape technical architecture, accelerate innovation, and build reusable capabilities that support our long-term growth. 

Your success will be measured by the solutions you deliver, the engineering improvements you drive, and the teams you empower to succeed.