Lead AI and Data Solutions Engineer

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July 13

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Common Securitization Solutions

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Finance • Fintech • Real Estate

Common Securitization Solutions (CSS) is the largest and most technologically advanced mortgage securitization platform in the financial services industry, playing a critical role in the Single-Family housing market. CSS manages the issuance and administration for Fannie Mae and Freddie Mac’s Single-Family Mortgage-Backed Security (SF MBS) business and operates the Common Securitization Platform (CSP), a cloud-based platform that centralizes Agency MBS data. The company focuses on ensuring liquidity in the primary mortgage market, enabling Americans to purchase homes and refinance mortgages, while utilizing advanced technology for data management and reporting.

201 - 500 employees

Founded 2014

💸 Finance

💳 Fintech

🏠 Real Estate

📋 Description

• Lead design, development, and deployment of enterprise-scale data and AI solutions. • Architect, implement, and optimize large language models and agentic AI workflows. • Design and deploy AI solutions using frameworks like LangChain, LangGraph, and n8n. • Develop, integrate, and manage MCP-based solutions for model interpretability. • Leverage AWS and Snowflake to build scalable data pipelines. • Partner with cross-functional teams for delivering integrated solutions. • Stay current with technologies and trends in AI and cloud computing. • Ensure solutions meet regulatory, security, and compliance requirements. • Provide technical leadership and mentorship to junior team members.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. • Minimum 8+ years of experience in data engineering, AI solution development, or related roles. • Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP). • Good working experience developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration. • Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.). • Experience in the financial services or mortgage industry is preferred. • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future.

🏖️ Benefits

• Performance bonus • 401k match • Healthcare coverage • PTO • Broad range of other benefits