Lead AI and Data Solution Engineer

🕒 Outubro 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 1%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 33 dias.
• As vagas desta empresa costumam ser preenchidas em 31 dias.

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U.S. Financial Technology

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

A U. S. Financial Technology é a maior e mais tecnologicamente avançada plataforma de securitização de hipotecas dos EUA, operando a Common Securitization Platform para a Fannie Mae e Freddie Mac. Ela gerencia a emissão e administração de Títulos Lastreados em Hipotecas Residenciais Unifamiliares (SF MBS / UMBS), centraliza dados de nível de empréstimo e de pool em uma plataforma 100% baseada em nuvem e oferece relatórios, análises e serviços operacionais quase em tempo real para apoiar credores, GSEs e investidores. A empresa enfatiza a gestão de dados, riscos e cibersegurança, além de possibilitar liquidez no mercado primário de hipotecas para facilitar aquisições e refinanciamentos de imóveis.

Descrição

• Lead the design, development, and deployment of enterprise-scale data and AI solutions aligned 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 LangChain, LangGraph, and n8n for agent orchestration, workflow automation, and business-system integration • Develop, integrate, and manage Model Context Protocol (MCP)-based solutions for model interpretability, context management, and scalable deployment • Leverage AWS and Snowflake to build scalable, secure, and efficient pipelines for structured and unstructured data • Partner with technology, business, risk, legal, and compliance stakeholders to deliver integrated solutions • Monitor emerging AI, data engineering, and cloud-computing technologies and drive continuous improvement • Ensure solutions meet financial-services regulatory, security, and compliance requirements • 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 • 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 • Authorized to work in the US without requiring employer sponsorship currently or in the future • Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures • Hands-on experience with LLM deployment, fine-tuning, and integration • Advanced proficiency in Python programming, including designing, developing, testing, and troubleshooting production-grade AI/ML applications and reusable frameworks • Proficiency in agentic AI design patterns and implementation • Expertise in Model Context Protocol (MCP) for context-aware model deployment and management • Strong knowledge of Snowflake, AWS, and advanced data modeling • Experience with data governance, security, and compliance best practices • Excellent communication, collaboration, and presentation skills • Ability to translate complex technical concepts for non-technical stakeholders • Successful completion of a background investigation, potentially including a credit check

🏖️ Benefícios

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

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