Enterprise Architect – Cloud & AI Technologies

Stellar IT Solutions LLC; St. Louis (MO); Remote; USD 165,000 - 248,000; Part time

Job summary

Stellar IT Solutions LLC is seeking a hands-on architect to accelerate enterprise Cloud and AI initiatives from concept through production readiness. You will design secure, scalable solutions and validate architecture through proofs of concept, reducing technical and delivery risk across Microsoft Azure, Databricks, Anthropic Claude, Copilot, and related AI capabilities.

Key outcomes include delivering architecture aligned with security and governance, establishing reusable AI patterns, and

Qualifications

• 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.

Responsibilities

• Deliver architecture patterns for Cloud and AI solutions aligned with security, privacy, and governance.
• Rapidly validate high-risk decisions through proofs of concept and limited dry-runs.
• Establish reusable AI patterns, Copilot integrations, and enterprise knowledge grounding.
• Define production-readiness requirements for scalability, resiliency, observability, and monitoring.

Skills

Enterprise architecture

Cloud architecture

Azure

Databricks

Copilot/AI tooling

Tools

Microsoft Azure

Databricks

Job description

Job Id : 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.

Key Outcomes

• 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.

Preferred Experience

• 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.

Skills :