AI/ML & Data Architect
Listed on 2026-01-02
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IT/Tech
Data Engineer, Cloud Computing
Overview
ERP International, LLC () is currently seeking Full-Time a Mid to Senior Level AI/ML & Data Architect to support its Federal customers.
This role will help define and implement our customers' data and AI strategies by contributing to architectural artifacts, data modeling, metadata management, and governance practices, ensuring alignment with the Agency's Enterprise Architecture (EA) and Data Management policies. Qualified candidates are urged to apply to learn more about this great opportunity!
Work Location
:
Baltimore MD area with Hybrid Options. This position may require occasional travel to CMS headquarters in Baltimore, MD.
Be the Best!
ERP International has been named a Washington Post 2025 Top Workplace! We are thrilled to be included on the list for a sixth year in a row!
ERP Offers Employees:
* Competitive Salaries & Benefits to include Health, Dental, Vision and Retirement!
* Health Advocate & Concierge Services!
* Unlimited Job
- Related Training & Development!
* Employee Recognition & Incentive Programs!
* Employee Appreciation & Company Sponsored Events!
* Opportunity to work with leading edge technology!
* Community Outreach & Charity Work!
Connect With Us! Apply online today and discover more about this exceptional employment opportunity.
ERP International is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
ERP International is committed to providing veteran employment opportunities to our service men and women.
Pay Range: $,000. The salary range for this position is determined based on a variety of factors, including but not limited to, experience, qualifications, skill level, and location. The final salary offer will fall within this range and will be commensurate with the candidate’s background and the specific demands of the role.
About ERP International, LLC:ERP is a nationally respected provider of health, science, and technology solutions supporting clients in the government and commercial sectors. We provide comprehensive enterprise information technology, strategic sourcing, and management solutions to DoD and federal civilian agencies in 40 states. Founded in 2006, ERP is headquartered in Laurel, MD and maintains satellite offices in Montgomery, AL and San Antonio, TX - plus project locations nationwide.
ERP is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment on the basis of race, color, sex, religion, national origin, veteran status, disability status, age, or any other characteristic protected by federal, state, or local law.
Responsibilities- Assist in the documentation of data and technical related policies, standards, and procedures.
- Develop CDMs, LDMs and translating physical schemas into LDMs in support of aData Registry
- Prepare and conduct customer presentations and briefings
- Design and maintain logical and conceptual data models in support of enterprise and project-level initiatives.
- Work closely with Chief Enterprise Architect on Artificial Intelligence, Enterprise and Data Architecture, and Technical Reference Architecture.
- Support data integration and Artificial Intelligence (AI) / Large Language Model (LLM) evolution within organization's Enterprise Architecture
- Develop data and other architecture products such as data flow diagrams, data dictionaries, and canonical data models to support modernization and interoperability.
- Collaborate with stakeholders, enterprise architects, and system owners to identify data requirements and align them with enterprise standards.
- Support metadata and master data management initiatives in coordination with the Enterprise Data Group (EDG).
- Provide technical advice on Artificial Intelligence, Machine Learning, High Performance Computing, containerization, dynamic scaling, blockchain and other advanced technology development.
- Provide architectural guidance for data integration, data sharing, interoperability, and data quality best practices.
Required
Education:
- Bachelor's degree in Information Systems, Computer Engineering/Science, Data Science, or a related field.
Required Experience:
- 4+ years of experience in the use of AI/ML models, model…
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