Ai Engineer Jobs

About The Position

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits