> Markdown version of [/jobs/ext/4638068-enterprise-ai-architect](https://www.wearedevelopers.com/jobs/ext/4638068-enterprise-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise AI Architect - **Company:** Open Network Exchange - **Location:** Scottsdale, AZ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Windows, Artificial Intelligence, Microsoft Azure, Cyber Security, Computer Programming, Data Governance, Programming Tools, Information Retrieval, IT Management, Python (Programming Language), PCI Data Security Standards, Performance Tuning, Salesforce.Com, Software Engineering, Systems Integration, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, IT Architecture, Generative AI, Agentic-AI, Build Management, Information Technology, Data Management, Restful APIs - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=569109b04530fc2f ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field required. * 7-10 years of experience in software engineering, enterprise architecture, or systems integration. * Minimum 3 years of hands-on experience developing and deploying AI applications and automation solutions. * Demonstrated experience building AI agents, generative AI applications, and enterprise integrations. TECHNICAL QUALIFICATIONS * Strong programming experience with Python and JavaScript. * Experience with REST APIs, cloud platforms, and enterprise application integrations. * Knowledge of large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks. * Experience with Microsoft Azure and Microsoft 365. * Understanding of enterprise architecture, cybersecurity, data governance, and access controls. ## Description Open Network Exchange (ONE) is seeking a hands-on Enterprise AI Architect to lead the design, integration, and governance of artificial intelligence solutions across the organization. This individual will establish the technical foundation for ONE's AI strategy, working closely with departmental AI Champions, business leaders, IT, and external partners to implement scalable, secure, and cost-effective AI solutions. The ideal candidate combines strong technical expertise with business acumen and is capable of building AI solutions while establishing the architecture, standards, and controls needed to support AI adoption across the enterprise., AI Architecture & Development * Design and maintain ONE's enterprise AI architecture. * Build and deploy AI applications, agents, and automated workflows. * Establish reusable development frameworks and technical standards. * Lead complex AI implementations and system integrations. Enterprise Systems Integration * Integrate AI solutions with NICE CXone, Cognigy, Salesforce, Microsoft 365, and other enterprise platforms. * Develop secure connections to company data, call transcripts, and internal knowledge repositories. * Ensure data accuracy, access permissions, and integration reliability. AI Governance & Security * Establish AI governance standards, approved technologies, and data-handling requirements. * Implement access controls, testing, monitoring, and audit processes. * Partner with IT and Security to maintain PCI DSS, SOC 2, and applicable compliance requirements. Automation & Business Enablement * Partner with departmental AI Champions to identify and implement automation opportunities. * Develop AI solutions that reduce manual work and improve operational efficiency. * Build employee productivity tools for email, meetings, task management, and information retrieval. * Evaluate AI initiatives based on feasibility, cost, and business impact. Technology Strategy & Operations * Evaluate AI technologies, platforms, vendors, and development tools. * Maintain an enterprise AI roadmap aligned with business priorities. * Monitor AI performance, usage, reliability, and costs. * Identify opportunities to consolidate technology and reduce expenses. * Report implementation progress, risks, and results to IT leadership.