AI Data Engineer is sought by T. Rowe Price to guide the development and deployment of scalable AI and data solutions that enable next-generation data foundations and AI-driven capabilities. The successful candidate will be hands-on, with deep technical skills, driving best practices and innovation in a collaborative, purpose-driven environment.

Responsibilities

Qualifications: Required:

Design, develop, and maintain advanced “AI for data” and “Data for AI” capabilities, driving data pipelines, analytics platforms, and AI/ML solutions.
Collaborate with stakeholders including business, data scientists, product owners, and others to translate requirements into robust technical solutions.
Deliver AI data foundations in the data supply chain and data storage systems to ensure high-quality, reliable, and compliant data across the enterprise.
Build and operationalize machine learning models, integrating them into business workflows and production environments.
Champion data governance, security, and regulatory compliance in line with company standards and industry best practices.
Evaluate and implement emerging technologies, frameworks, and tools to advance data and AI capabilities.
Troubleshoot and optimize data solutions and platform performance for scalability and resilience.
Document system architectures, processes, and best practices for both technical and non-technical stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent)
2+ ye

About the role

AI Data Engineer is sought by T. Rowe Price to guide the development and deployment of scalable AI and data solutions that enable next-generation data foundations and AI-driven capabilities. The successful candidate will be hands-on, with deep technical skills, driving best practices and innovation in a collaborative, purpose-driven environment.

Responsibilities

Qualifications: Required:

Design, develop, and maintain advanced “AI for data” and “Data for AI” capabilities, driving data pipelines, analytics platforms, and AI/ML solutions.
Collaborate with stakeholders including business, data scientists, product owners, and others to translate requirements into robust technical solutions.
Deliver AI data foundations in the data supply chain and data storage systems to ensure high-quality, reliable, and compliant data across the enterprise.
Build and operationalize machine learning models, integrating them into business workflows and production environments.
Champion data governance, security, and regulatory compliance in line with company standards and industry best practices.
Evaluate and implement emerging technologies, frameworks, and tools to advance data and AI capabilities.
Troubleshoot and optimize data solutions and platform performance for scalability and resilience.
Document system architectures, processes, and best practices for both technical and non-technical stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent)
2+ ye

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