T. Rowe Price
Financial Services
AIDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Data Engineer at T. Rowe Price”
Industry & Context.
Full Job Description
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. **Role Summary** T. Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging AI for data and data for AI. The successful candidate will be a hands-on contributor with deep technical skills, who can drive best practices and innovation in a collaborative, purpose-driven environment. **Responsibilities** * Technical design, development, and maintenance of advanced “AI for data” and “Data for AI” capabilities driving advanced data pipelines, analytics platforms, and AI/ML solutions. * Collaborate with diverse set of team members varying from business stakeholders, data scientists, product owners, and other stakeholders to understand business requirements and translate them into robust technical solutions. * Delivery of AI data foundations in the data supply chain process and data storage s
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