Lead Enterprise Data & AI Architect — Remote

Aimlroles; United States; Remote; USD 123,000 - 164,000; Full time

Benefits offered by this job

Medical benefits

401(k) match

Paid time off

Parental leave

Wellness program

Education assistance

Employee assistance

Job summary

Patterson is seeking an Enterprise Data & AI Architect to define and advance enterprise data and AI architecture strategies, standards, and frameworks that enable secure, scalable data use across the organization. This role covers the full lifecycle from executive roadmap discussions to hands-on data modeling, pipeline tuning, and production support.

The incumbent will lead data and AI initiatives, architect API-driven integrations, and mentor cross-functional teams on CI/CD, data governance,

Qualifications

• Bachelor's degree in Engineering, CS or related field.
• Minimum 7 years in data architecture, data engineering, AI architecture, and AI/ML delivery.
• Experience delivering production AI solutions.
• Experience with data warehousing, integration, documentation, and AI tools.

Responsibilities

• Define and maintain data architecture standards, governance and security.
• Build metadata-driven data lineage frameworks for transparency.
• Design enterprise analytics platform with high-volume data processing.
• Lead evaluation and implementation of AI solutions for production use.
• Architect API-driven integrations across ERP, procurement, finance, CRM.
• Mentor engineering teams on CI/CD, data security and code quality.

Skills

Python

SQL

API integration

Data governance

Metadata management

AI frameworks

Communication skills

Cross-functional collaboration

Education

Bachelor's degree in Engineering or Computer Science

Tools

Azure Synapse

BigQuery

Snowflake

Informatica

Gemini

GPT

Google Document AI

Job description

Patterson is seeking an Enterprise Data & AI Architect to define and advance enterprise data and AI architecture strategies, standards, and frameworks that enable secure, scalable data use across the organization. This role covers the full lifecycle from executive roadmap discussions to hands-on data modeling, pipeline tuning, and production support.

The incumbent will lead data and AI initiatives, architect API-driven integrations, and mentor cross-functional teams on CI/CD, data governance,