SENIOR AI DATA ARCHITECT

SENIOR AI DATA ARCHITECT Overview

• Job ID:

  J54430

• Job Title:

  SENIOR AI DATA ARCHITECT

• Location:

  Dearborn, MI

• Duration:

  8 Months + Extension

• Domain Exposure:

  Telecom

• Client:

  To Be Discussed Later

• Employment Type:

  W-2, 1099, C2C

• Work Authorization:

  US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: SENIOR AI DATA ARCHITECT
Location: Dearborn, MI
Duration: 8 Months + Extension
Bill Rate: $77/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:
We are seeking an experienced Senior AI Data Architect to serve in a flexible advisory and hands-on capacity as we expand the Dedham AI initiative. This role would primarily focus on validating architecture and guiding data-intensive decisions, with the ability to take on hands-on implementation work as needed.

• De-risks major architectural decisions before significant build investment
• Brings senior, specialized AI/data expertise without a full-time hire
• Accelerates the Dedham AI initiative through expert validation, direction, and hands-on build capacity as needed
• Helps the team avoid costly rework by getting the design right early.

Key Responsibilities

• Review and validate proposed data architectures and system designs
• Advise on approach and best practices for data-intensive AI systems
• Provide guidance on MCP (Model Context Protocol) system design and buildout
• Advise on classification systems and related ML/AI workflows
• Serve as a technical sounding board for the team’s engineering decisions
• Take on hands-on implementation work where needed, from prototyping to building production data systems.

Qualifications

• Experience building data-intensive systems within the AI/ML field
• Demonstrated expertise with MCP-based system design and implementation
• Strong background in classification work and related ML pipelines
• Deep familiarity with modern AI/LLM system architecture
• Experience designing data pipelines, storage, and retrieval systems at scale
• Ability to clearly communicate technical guidance to a non-specialist audience

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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