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Enterprise Data and AI/ML Solution Architect Job Opening In Baltimore – Now Hiring Access-HR, Inc.


Job description

Organizational Overview Our client is a nationally respected provider of health, science, and technology solutions supporting clients in the government and commercial sectors.

They provide comprehensive enterprise information technology, strategic sourcing, and management solutions to DoD and federal civilian agencies in 40 states.

Clearance and Citizenship Requirements: Candidate must be a U.S. Citizen or Green Card holder due to federal contracting requirements and have the ability to pass a Public Trust background investigation.

Position Summary Our client is currently seeking Full-Time a Mid to Senior Level Enterprise Data and AI/ML Solution Architect to support the development and maintenance of the CMS enterprise and project level data architecture products within the Centers for Medicare & Medicaid Services (CMS).

This role will help define and implement CMS's data and AI strategies by contributing to architectural artifacts, data modeling, metadata management, and governance practices, ensuring alignment with CMS's Enterprise Architecture (EA) and Data Management policies.

Qualified candidates are urged to apply to learn more about this great opportunity! Primary Responsibilities Assist in the documentation of data and technical related policies, standards, and procedures.

Prepare and conduct customer presentations and briefings.

Design and maintain logical and conceptual data models in support of CMS 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 CMS stakeholders, enterprise architects, and system owners to identify data requirements and align them with enterprise standards.

Ensure compliance with CMS EA Framework, including integration with CEDAR and support for the CMS Business Reference Model (BRM) and Information Reference Model (IRM).

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.

Clearance and Citizenship Requirements: Candidate must be a U.S. Citizen or Green Card holder due to federal contracting requirements and have the ability to pass a Public Trust background investigation.

Requirements Clearance and Citizenship Requirements: Candidate must be a U.S. Citizen or Green Card holder due to federal contracting requirements and have the ability to pass a Public Trust background investigation.

Education, Certifications and Years of Experience Bachelor's degree in Information Systems, Computer Engineering/Science, Data Science, or a related field.

Required Experience: 3+ years experience in Artificial Intelligence/Machine Learning 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 in designing and managing enterprise-level data infrastructure (databases, data warehouses, data lakes) and developing blueprints/frameworks for data storage, integration, and access across large organizations 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.

Required Knowledge, Skills, and Abilities Familiarity in data modeling tools such as Sparx Enterprise Architect, Prolaborate, IBM Data Architect, or ERwin.

Familiarity with enterprise architecture frameworks such as FEAF, ArchiMate, or DODAF.

Understanding of CMS 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.

Preferred Experience: Hold certifications such as CDMP, TOGAF, and Cloud certifications.

Experience with CMS data assets, including those governed by the EDG or accessible through CMS's CEDAR repository.

Benefits Clearance and Citizenship Requirements: Candidate must be a U.S. Citizen or Green Card holder due to federal contracting requirements and have the ability to pass a Public Trust background investigation.

Compensation Salary Range: $120,000.00 to $180,000.00 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 candidates background and the specific demands of the role.

Benefits PTO and 10 Paid Federal Holidays Medical/Dental/Vision and Health Savings Account Matching 401K 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! Physical Demands This position primarily involves sedentary work in an office or remote setting.

The employee is regularly required to sit, use hands and fingers to operate computers and related equipment, and communicate verbally and in writing.

Occasional lifting and carrying of equipment up to 25 pounds may be required.

The role may also involve bending, reaching, or kneeling when setting up or troubleshooting hardware.

Visual acuity is necessary for prolonged use of computer monitors and diagnosing technical issues.
Bachelor's degree in Information Systems, Computer Engineering/Science, Data Science, or a related field.


4-5 years
Minimum Experience: 5+ years of experience

Required Skill Profession

Other General


  • Job Details

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Unlock Your Enterprise Data Potential: Insight & Career Growth Guide


Real-time Enterprise Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Enterprise Data in Baltimore, United States, highlighting market share and opportunities for professionals in Enterprise Data roles.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Access-HR, Inc. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Baltimore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Enterprise Data and AI/ML Solution Architect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Enterprise Data and AI/ML Solution Architect Job Success

Access-HR, Inc. interview tips for Enterprise Data and AI/ML Solution Architect

Here are some tips to help you prepare for and ace your Enterprise Data and AI/ML Solution Architect job interview:

Before the Interview:

Research: Learn about the Access-HR, Inc.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Enterprise Data and AI/ML Solution Architect interview at Access-HR, Inc., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Access-HR, Inc.'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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