Job Description A client of Insight Global is looking for an AI Aolutions Architect to join their team in Englewood Colorado. In this role you will enable internal and customer teams to design, integrate, troubleshoot, and deploy agent-enabled solutions on the organization’s AI/agent enablement platform. Serve as the primary technical and solution partner to client teams, focusing on integration (identity, networking, service-to-service access) and production readiness. Act as a conduit between client teams and the platform product/engineering group, shaping requirements and shepherding features to delivery. This is a hybrid role 3 days a week onsite in Greenwood Village Colorado and will pay between $70-$80/ hour. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 10+ years in solution architecture, platform engineering, technical consulting, or SRE/DevOps supporting application teams. Hands-on experience with shared platforms (AI/ML, data, or integration) and SaaS solutions. Proven track record delivering solutions into production and working closely with product owners. Strong written and verbal communication skills for both technical and business audiences. Understanding of core ML concepts and familiarity with LLM/agent/RAG-style solutions. Proficiency in Python (or similar languages like TypeScript/Java) for platform tooling and integration. Background in AI/LLM/agentic systems, enterprise identity/security patterns, and experience creating reusable enablement assets