AI/ML & Data Architect

Cooperidge Consulting Firm is seeking a Mid to Senior Level AI/ML & Data Architect for a top Federal Consulting client. This strategic role defines and implements the customer's data and AI strategies by contributing to architectural artifacts, data modeling, metadata management, and governance practices. The Architect ensures that all data and AI initiatives, including the evolution of Large Language Models (LLMs), align rigorously with Enterprise Architecture and Data Management policies within a hybrid work environment near Laurel, MD. Job Responsibilities Design and maintain robust logical and conceptual data models, including the creation of data flow diagrams, data dictionaries, and canonical data models Support data integration and the evolution of Artificial Intelligence (AI) and Large Language Models (LLMs) within the organization's Enterprise Architecture Develop CDMs (Conceptual Data Models), LDMs (Logical Data Models), and translate physical schemas into LDMs in support of a comprehensive Data Registry Collaborate closely with stakeholders, enterprise architects, and system owners to identify data requirements and align them with enterprise standards Provide technical advice and architectural guidance on advanced technologies, including AI, Machine Learning, High Performance Computing, and containerization Support metadata and master data management initiatives and provide guidance for data sharing, interoperability, and data quality best practices Develop and document data and technical-related policies, standards, and procedures, ensuring compliance with federal requirements Education Bachelor's degree in Information Systems, Computer Engineering/Science, Data Science, or a related field is required (Equivalent work experience considered) Experience Minimum of five (5) years of experience in data architecture, data modeling, or enterprise data design is required Minimum of five (5) years of experience working with AWS and MS Azure enterprise data and AI/ML solutions is required Minimum of three (3) years of experience in the use of AI/ML models and LLMs, with exposure to model training, is required Hands-on experience designing and maintaining conceptual and logical data models is mandatory Experience working with relational and non-relational databases (e.g., Oracle, MongoDB) is required Experience integrating disparate data sources and supporting data modernization initiatives is required Certifications/Licenses Must have US Citizenship and the ability to obtain a DoD clearance if necessary Certifications such as CDMP, TOGAF, and Cloud certifications are preferred Knowledge of federal data strategy and compliance requirements (e.g., HIPAA, FISMA) is preferred Skills Practical experience in the development and documentation of data-related policies, standards, and procedures Strong ability to prepare and conduct customer presentations and briefings Understanding of enterprise data domains, healthcare data standards, or government data governance practices is preferred Familiarity with enterprise architecture frameworks (e.g., FEAF, DODAF) and data modeling/ETL tools is preferred Benefits Full-time roles offering overtime and weekend work opportunities Competitive hourly wages plus potential quarterly bonuses Comprehensive health, vision, and dental insurance plans Life insurance coverage 401(k) retirement plan with company matching contributions Paid time off including vacation, sick leave, and holidays Opportunities for career growth and advancement Employee discount programs and perks #J-18808-Ljbffr