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AI Architect

12 hours, 29 minutes ago
Anywhere
Full-time
Lead
AI Engineer
Software Development
Azure C# LLM Machine Learning .NET TypeScript
Apply Now
Schneider Geospatial

Schneider Geospatial

Schneider Geospatial provides innovative SaaS solutions and a comprehensive suite of data conversion, technical support, training, and consulting services to empower local governments in enhancing citizen experiences through efficient location-based da...

Internet Software & Services
51-200
Founded 1962
View All Jobs 5

Description

  • Champion AI adoption across Engineering to improve productivity, quality, and delivery speed.
  • Translate AI, Data, Product, and Engineering priorities into scalable, production-ready solutions.
  • Design AI architectures for model integration, RAG, agent orchestration, and data integration.
  • Implement AI-enabled and agentic development and testing workflows that reduce repetitive work and improve throughput.
  • Prototype solutions, guide implementation, resolve technical challenges, and remove delivery barriers.
  • Establish security, privacy, governance, evaluation, observability, and cost-management standards for AI solutions.
  • Mentor developers, influence teams, and develop internal AI champions.
  • Measure and report improvements in engineering efficiency, solution quality, reliability, cost, and business value.

Requirements

  • Proven experience designing, building, deploying, and operating production AI or machine learning solutions.
  • Deep practical expertise in production LLM applications, retrieval, orchestration, and emerging AI technologies.
  • Strong hands-on engineering experience with cloud architecture, APIs, data platforms, security, and modern software development.
  • Experience implementing agentic workflows that measurably improve engineering productivity, efficiency, or cost.
  • Ability to translate product and business requirements into practical, scalable technical solutions.
  • Demonstrated success driving technical or organizational change and influencing without direct authority.
  • Strong architectural judgment balancing speed, scalability, security, quality, and cost.
  • Excellent communication, collaboration, and mentoring skills across Engineering, Product, and technical teams.
  • Experience with hosted and open-source AI model ecosystems, enterprise AI governance, or reusable engineering frameworks (preferred).
  • Experience with Azure, .NET/C#, TypeScript, relational and vector databases, hybrid search, containers, and enterprise security (preferred).

Benefits

  • Competitive salary.
  • Comprehensive benefits.
  • Opportunity to apply AI to products that help local governments serve their communities.
  • High-impact ownership over AI architecture and engineering transformation.
  • Collaborative, growth-oriented environment with Engineering, Product, and business leaders.

Interested in this position?

Apply directly on the company website

Apply Now

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