AI Lead

Richmond, VA - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description Primary Skills: Python Data Engineering Role Overview The AI Lead is responsible for leading the design development and delivery of AI enabled data engineering solutions that power analytics machine learning and intelligent applications. This role combines strong Python based data engineering expertise with technical leadership to build scalable reliable and production ready data platforms aligned to business and AI objectives.
The AI Lead works closely with data scientists platform teams and stakeholders to ensure high quality data pipelines efficient processing and seamless integration with AI/ML workflows.
Key Responsibilities:
Lead the design and implementation of end to end data engineering pipelines supporting AI and analytics use cases.
Develop and optimize Python based data processing frameworks for ingestion transformation and enrichment. Architect scalable data solutions for structured and unstructured data.
Enable AI/ML initiatives by ensuring high quality reliable and well governed data pipelines. Collaborate with data scientists to support model training validation and deployment workflows.
Define standards and best practices for data engineering coding testing and performance optimization.
Ensure data solutions meet scalability reliability and performance requirements.
Guide and mentor engineers providing technical direction and design reviews.
Work with stakeholders to translate business requirements into technical data solutions.
Drive continuous improvement in data platform maturity and delivery efficiency.
Required Skills & Experience:
Strong proficiency in Python for data engineering and automation. Solid experience in data pipeline development transformation and orchestration. Experience working with large scale data platforms and datasets.
Understanding of AI/ML data lifecycle and dependencies. Experience designing solutions for high availability and performance critical systems.
Strong problem solving and technical leadership skills.
Preferred Qualifications:
Experience supporting AI/ML platforms and analytics ecosystems.
Exposure to cloud based data services and modern data architectures. Familiarity with DevOps or automation practices for data platforms.
Experience working in Agile delivery environments.