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# Senior AI Solutions Architect

- **Company:** ProService Pacific, LLC
- **Location:** Wilson, NC, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Distributed Computing Environment, Python (Programming Language), Software Architecture, Software Engineering, Cloud Platform System, Sql Optimization, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Data Strategy, Kubernetes, Data Management, Api Design, Restful APIs, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/a986d4ce-5b73-4678-a08e-22cbd9dd6d08

## About the Role

* Enterprise AI & Data Strategy: Strong architectural knowledge of modern data platforms (Databricks, Lakehouse architecture) and Generative AI patterns (RAG, agentic workflows, multi-model evaluation frameworks).

 * Business Acumen: Ability to translate complex technical concepts into clear business ROI for non-technical executives and brand leaders.
 * Technical Background: Prior hands-on experience in data engineering, AI/ML, or enterprise cloud solutions, enabling effective oversight of technical teams and architectural decisions.

Required Skills

 * Data Platforms & Cloud Ecosystems: Deep understanding of modern cloud data architectures, distributed data processing, enterprise data governance, and scalable storage layers.

 * Generative AI & Intelligent Systems: Hands-on experience with LLM orchestration frameworks, retrieval-augmented generation (RAG) patterns, vector databases, and multi-model evaluation pipelines.

 * Data Integration & Pipeline Engineering: Strong background in integrating enterprise data sources, master product catalogs, unstructured files, and third-party REST APIs into centralized data environments.

 * Software Engineering & Data Analysis: Proficiency in Python, SQL optimization, structured data validation, and building robust API-driven workflows.