Lead AI and Data Solution Engineer

Job not on LinkedIn

🕒 2 days ago

🇺🇸 United States – Remote

💵 $200k - $215k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Common Securitization Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💸 Finance

💳 Fintech

🏠 Real Estate

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.

📋 Description

• 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. • Design and deploy AI solutions using leading frameworks such as LangChain, LangGraph, and n8n for scalable agent orchestration, workflow automation, and integration with business systems. • Develop, integrate, and manage MCP-based solutions to enhance model interpretability, context management, and deployment at scale. • Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data. • Partner with cross-functional teams, including other technology, business, risk, legal, and compliance stakeholders, to deliver integrated solutions. • Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation. • Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry. • 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 • Hands-on experience building AI applications using Python frameworks such as LangChain, LlamaIndex, FastAPI, and AWS/OpenAI SDKs • 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