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# AI Data Architect

- **Company:** Mitchell Martin
- **Location:** Kansas City, MO, United States
- **Experience:** Expert
- **Salary:** $114,150.0 - $163,072.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Data Architecture, Data Governance, Data Transformation, Data Systems, Machine Learning, Metadata, Meta-Data Management, Cloud Services, Enterprise Data Management, Data Management, Machine Learning Operations, Data Pipelines
- **Published:** August 1, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-data-architect-kansas-city-mo--b4d9155a-79d3-49cb-b421-49a7ef62fd4f

## About the Role

* Bachelor's degree in a related field with 7+ years of experience.
 * Experience in designing enterprise data platforms for AI/ML initiatives.
 * Strong understanding of data governance and compliance in financial services.
 * Expertise in data architecture frameworks and metadata management.
 * Proficiency with cloud data platforms and big data technologies.

Core Technologies:

 * Cloud Platforms | Data Models | Metadata Management | Big Data Technologies | Data Pipelines, Adoption, Artificial Intelligence (AI), Big Data, Cloud Computing, Data Management, Data Modeling, Data Quality, DataArchitect Data Modeling Tool, Financial Compliance, Financial Services, Leadership, Maintain Compliance, Metadata, Onboarding, Quality Management, Regulatory Reports, Sales Pipeline, Security Compliance

## Description

* Join our team in Kansas City, MO as a Contract AI Data Architect in a Hybrid work setting.
 * You will design and implement data architectures to support AI initiatives, ensuring compliance and scalability.
 * Your role will involve using advanced data technologies and collaborating across teams to enhance financial services., * Design and implement data architectures for AI adoption across the organization.
 * Create data models, metadata frameworks, and pipelines for AI/ML processes.
 * Ensure data quality and compliance with governance and security teams.
 * Oversee AI-ready data platforms integrating various data sources.
 * Implement modern data architectures to accelerate AI/ML projects.
 * Optimize AI/ML workloads on cloud platforms and manage data pipelines.
 * Collaborate with teams to align data architecture with business needs., * Define and implement AI data architecture strategies.
 * Design data models and frameworks supporting AI/ML model lifecycle.
 * Establish standards for data quality and management.
 * Collaborate with teams to enforce ethical AI data usage policies.
 * Provide leadership in data modernization and regulatory reporting.


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