AI/ML & Data Architect

• 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 a Data 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.
• 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.

• Bachelor's degree in Information Systems, Computer Engineering/Science, Data Science, or a related field. Equivalent work experience will be considered.

Required Experience:

• 3+ years of experience in the use of AI/ML models and LLMs. Exposure to model training.
• 5+ years of experience working with AWS and MS Azure enterprise data and AI/ML solutions
• 5+ years of experience in data architecture, data modeling, or enterprise data design.
• Hands-on experience designing and maintaining logical and conceptual data models, including the creation of data flow diagrams, data dictionaries, and data models. 
• Experience working with relational and non-relational databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB).
• Practical experience in integrating disparate data sources and supporting data modernization and interoperability initiatives.
• Experience in the development and documentation of data-related policies, standards, and procedures, ensuring alignment with enterprise and federal requirements.

Preferred Experience:

• Familiarity in data modeling tools.
• Familiarity with enterprise system architecture frameworks such as FEAF, ArchiMate, or DODAF.
• Understanding of enterprise data domains, healthcare data standards, or government data governance practices (preferred).
• Knowledge of federal data strategy and compliance requirements (e.g., HIPAA, FISMA).
• Familiarity with ETL tools and data integration platforms.
• Understanding of data analytics, and reporting tools such as Tableau or Power BI.
• Prefer experience supporting the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) into enterprise data architectures. This includes understanding AI/LLM capabilities, prompt engineering, and the ethical/legal considerations of deploying these technologies in a government context.
• Hold certifications such as CDMP, TOGAF, and Cloud certifications.

Clearance and Citizenship Requirements:

• Must have ship and the ability to obtain a DoD clearance if necessary.