Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices.
Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
8+ years of experience in data engineering, AI solution development, or related roles.
Proven expertise in large language models, agentic AI systems, and Model Context Protocol.

Why Join:

Work with a leading financial technology company that supports a critical part of the mortgage market.
Engage in cutting-edge AI and data engineering projects in a remote environment.
Benefit from a competitive compensation package including performance bonuses and comprehensive benefits.

U.S. Financial Technology

U.S. Financial Technology operates the largest and most advanced mortgage securitization platform globally, supporting the Uniform Mortgage-Backed Security of Fannie Mae and Freddie Mac. The company supports 70% of the mortgage-backed securities market and offers a full lifecycle of services with a focus on cloud-based technology and innovation.

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