AI Enterprise Architect

Job Description We are seeking an experienced AI Enterprise Architect to join our enterprise team on a contract basis. In this role, you will serve as the central governance authority for all AI initiatives across the organization, ensuring strategic alignment, pattern recognition, and scalable solutions. Reporting to the Enterprise Architecture team, you will collaborate closely with business stakeholders, solution architects, and cross-functional teams to identify AI opportunities, establish reusable patterns, and validate that AI projects deliver value while adhering to governance standards. This position focuses exclusively on AI technologies, with a strong emphasis on AI agents and emerging paradigms to drive innovation and efficiency at scale. Pay Rate: $95-$105/hr 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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 7+ years of experience in enterprise architecture, with at least 4 years focused on AI/ML systems. Proven track record in AI governance, including tracking multi-project portfolios and establishing reusable patterns. Strong experience collaborating with cross-functional teams (e.g., business analysts, solution architects, developers) to deliver scalable AI solutions. Deep understanding of AI ethics, data privacy, and regulatory compliance (e.g., GDPR, AI Act). Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders. - LLM: Prompt-based text generation with fast, lightweight models; aware of context and external-data limitations. RAG: Retrieval-augmented systems for accurate, current responses in knowledge-heavy Q&A tasks. AI Agents: Autonomous agents with planning, reasoning, memory, and tool use for multi-step automation. Agentic AI / Multi-Agent Systems: Collaborative, specialized agents with coordination, division of labor, memory, feedback loops, and strategic execution. Cloud AI deployment (AWS, Azure, GCP) Frameworks: LangChain, Hugging Face, AutoGen, and similar agentic tooling AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, or equivalent. Insight Global