{"schemaVersion":"jobsearcher.job.v1","id":"54a19f1ec168ce2f2cb0e0df","url":"https://jobsearcher.com/jobs/54a19f1ec168ce2f2cb0e0df","canonicalUrl":"https://jobsearcher.com/jobs/54a19f1ec168ce2f2cb0e0df","title":"DevOps Architect (Permanent)","description":"Role: AI Architect Location: Charlotte NC (3 days Work from Office/Week)ContractWe are seeking a highly experienced AI Architect to lead the design, strategy, and implementation of enterprise-scale AI solutions powered by Agentic AI, LLMs/SLMs, Autonomous Agents, and Generative AI platforms . The role will focus on architecting multi-agent systems, supervisory AI workflows with human-in-the-loop controls, evaluating agentic skills, design integration, workflows, and driving AI-led transformation across data and modernization initiatives. This role requires strong collaboration with business and technology stakeholders to translate AI innovation into scalable, governed, and business-aligned solutions.Define architecture and design principles, support planning of technical implementation roadmaps.Partner with client stakeholders, Product Owner to identify, prioritize, and shape AI use cases aligned to business and data transformation goals.Architect autonomous agent platforms with supervisory controls, human-in-the-loop workflows, governance, and auditability.Define agent communication and interoperability frameworks using MCP (Model Context Protocol) and modern AI integration patterns.Evaluate and recommend optimal hybrid strategy for LLM/SLM and deterministic approach for enterprise AI applications, automation platforms, and transpiler solutions.Research emerging AI technologies, frameworks, and industry trends to provide strategic recommendations.Develop AI governance, safety, observability, security, and responsible AI frameworks.Define agent mapping, policy recommendations, and operating models for enterprise AI adoption.Collaborate with engineering, product, and business teams to establish reusable AI architecture patterns and standards.Support executive stakeholders through architecture reviews, technology assessments, workshops, and strategic advisory engagements.","company":"Eit","rawCompany":"eit","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-11-01T11:40:47.922Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DevOps Architect (Permanent)","description":"Role: AI Architect Location: Charlotte NC (3 days Work from Office/Week)ContractWe are seeking a highly experienced AI Architect to lead the design, strategy, and implementation of enterprise-scale AI solutions powered by Agentic AI, LLMs/SLMs, Autonomous Agents, and Generative AI platforms . The role will focus on architecting multi-agent systems, supervisory AI workflows with human-in-the-loop controls, evaluating agentic skills, design integration, workflows, and driving AI-led transformation across data and modernization initiatives. This role requires strong collaboration with business and technology stakeholders to translate AI innovation into scalable, governed, and business-aligned solutions.Define architecture and design principles, support planning of technical implementation roadmaps.Partner with client stakeholders, Product Owner to identify, prioritize, and shape AI use cases aligned to business and data transformation goals.Architect autonomous agent platforms with supervisory controls, human-in-the-loop workflows, governance, and auditability.Define agent communication and interoperability frameworks using MCP (Model Context Protocol) and modern AI integration patterns.Evaluate and recommend optimal hybrid strategy for LLM/SLM and deterministic approach for enterprise AI applications, automation platforms, and transpiler solutions.Research emerging AI technologies, frameworks, and industry trends to provide strategic recommendations.Develop AI governance, safety, observability, security, and responsible AI frameworks.Define agent mapping, policy recommendations, and operating models for enterprise AI adoption.Collaborate with engineering, product, and business teams to establish reusable AI architecture patterns and standards.Support executive stakeholders through architecture reviews, technology assessments, workshops, and strategic advisory engagements.","datePosted":"2026-11-01T11:40:47.922Z","dateModified":"2026-11-01T11:40:47.922Z","hiringOrganization":{"@type":"Organization","name":"Eit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"54a19f1ec168ce2f2cb0e0df"},"url":"https://jobsearcher.com/jobs/54a19f1ec168ce2f2cb0e0df"}}