Enterprise Architect – Cloud & AI Technologies

Job  :
Stellar - 17778

Posted Date : 10/15/2026

Experience : 10-25

Job Type :
Contractual

Location :
Saint Louis, MO

Overview :

Ongoing contract role

100 percent remote

Seeking a hands-on individual to accelerate enterprise Cloud and AI initiatives from concept through production readiness. You will design secure, scalable solutions, validate architecture through targeted proofs of concept, and reduce technical and delivery risk across Microsoft Azure, Databricks, Anthropic Claude, Microsoft Copilot, and related AI capabilities.

• Deliver implementation-ready Cloud and AI architectures aligned with enterprise security, privacy, Responsible AI, data governance, and model-risk standards.
• Rapidly validate high-risk technical decisions through proofs of concept, prototypes, and limited hands-on configuration, scripting, or coding.
• Establish reusable patterns for AI assistants and agents, Copilot integrations, enterprise knowledge grounding, retrieval-augmented generation, vector stores, and AI-ready data products.
• Define production-readiness requirements for scalability, resiliency, observability, model monitoring, deployment, integration, and support.
• Partner with data, cybersecurity, infrastructure, application, and delivery teams to resolve architecture decisions and prevent late-stage rework.
• Produce clear architecture documentation, decision records, implementation guidance, and operational handoff materials.

• Enterprise or solution architecture experience delivering Cloud, data, and AI solutions in production environments.
• Strong architecture experience with Microsoft Azure and Databricks.
• Practical experience with Microsoft Copilot/Copilot Studio, Anthropic Claude, generative AI, RAG, vector search, and enterprise knowledge integration.
• Experience designing secure AI solutions with identity, access controls, data protection, governance, monitoring, and operational support built in.
• Strong communication skills and the ability to influence technical decisions across internal teams, vendors, and delivery partners.