AI Architect

Job not on LinkedIn

🔥 14 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 53 days.
• No salary listed.

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Schneider Geospatial, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1962

🏛️ Government

☁️ SaaS

🏢 Enterprise

💰 Private equity on 2022-07

Government • SaaS • Enterprise

Schneider Geospatial, LLC is a GovTech company offering GIS-integrated, location-based software solutions for local governments. Their platform (Beacon and related modules) centralizes parcel management, permitting & licensing, and asset management by integrating GIS with CAMA, tax administration, and other systems to streamline workflows, improve citizen engagement, and reduce manual processes. They provide professional support, system integration, staff training, and additional services like GIS support and ArcGIS services, serving over 1,000 local governments across many U. S. states.

📋 Description

• Champion AI adoption across Engineering by challenging existing practices and identifying opportunities to improve productivity, quality, and delivery speed • Collaborate across AI, Data, Product, and Engineering to translate priorities into scalable, production-ready solutions • Align implementation efforts to accelerate delivery and reduce duplication • Design production-ready AI architectures, including model integration, RAG, agent orchestration, and data integration • Emphasize reusable services, interoperability, and engineering standards • Implement agentic workflows and AI-enabled development and testing practices • Prototype solutions, guide implementation, resolve technical challenges, and remove barriers to engineering progress • Implement security, privacy, governance, evaluation, observability, and cost-management standards • Influence engineering teams, challenge conventional thinking, mentor developers, and build internal AI champions • Track improvements in engineering efficiency, solution quality, reliability, and cost while connecting technical outcomes to customer and business value • Work across technical and product teams to shape architecture, accelerate innovation, and build reusable capabilities

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Competitive salary • Comprehensive benefits • Mission-driven work helping local governments better serve their communities • Opportunity to shape Schneider's AI architecture and advance engineering capabilities across the organization • Opportunity to drive meaningful change in software development, testing, and delivery • Collaborative, growth-oriented environment • Opportunity to make a lasting impact

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