Lead AI and Data Solution Engineer

Vaga não está no LinkedIn

🕒 Julho 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Common Securitization Solutions

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

💸 Finanças

💳 Fintech

🏠 Imobiliário

Finance • Fintech • Real Estate

A Common Securitization Solutions (CSS) é a maior e mais tecnologicamente avançada plataforma de securitização de hipotecas na indústria de serviços financeiros, desempenhando um papel crucial no mercado habitacional unifamiliar. A CSS gerencia a emissão e administração dos negócios de Títulos Lastreados em Hipotecas de Imóveis Unifamiliares (SF MBS) da Fannie Mae e Freddie Mac e opera a Common Securitization Platform (CSP), uma plataforma baseada em nuvem que centraliza dados MBS de Agências. A empresa foca em garantir liquidez no mercado primário de hipotecas, permitindo que os americanos comprem casas e refinanciem hipotecas, enquanto utiliza tecnologia avançada para gestão e relatórios de dados.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• performance bonus • 401k match • healthcare coverage • PTO • broad range of other benefits