Internship Ai Data Engineer Jobs (NOW HIRING)

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 systems to ensure high-quality, reliable, and compliant data across the enterprise.
• Build and operationalize machine learning models, facilitating their integration into business workflows and production environments.
• Champion data governance, security, and regulatory compliance, ensuring alignment with T. Rowe Price's standards and industry best practices.
• Evaluate and implement emerging technologies, frameworks, and tools to advance T. Rowe Price's data and AI capabilities.
• Troubleshoot and optimize data solutions and platform performance, ensuring scalability and resilience.
• Document system architectures, processes, and best practices for technical and non-technical stakeholders.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
• 2+ years of professional experience in data engineering, AI, or machine learning roles.
• Strong proficiency in Python (preferred), Java, or Scala.
• Experience with cloud data platforms (AWS, Azure, or GCP), preferably within a regulated industry.
• Hands-on expertise with big data technologies (Spark, Kafka) and modern data platforms (Snowflake)
• Proven track record deploying and maintaining machine learning models in production environments.
• Solid understanding of Agile methodologies and DevOps practices.
• Excellent communication, collaboration, and leadership skills.

Preferred:

• Experience in the asset management or financial services industry.
• Familiarity with MLOps, CI/CD pipelines, and model lifecycle management.
• Industry certifications in cloud or data engineering technologies.
• Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

WHAT TO EXPECT AFTER APPLYING
1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes
2. If you are eligible, you will be asked to record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 20-30 minutes

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$97,000.00 - $165,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$106,000.00 - $182,000.00 for the location of: Washington, D.C.
$121,000.00 - $206,000.00 for the location of: New York, California

Placement within the range provided above is based on the individual's relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.

Benefits

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.