Lead AI and Data Solution Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $200k - $215k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

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U.S. Financial Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

U. S. Financial Technology is the largest and most technologically advanced mortgage securitization platform in the U. S. , operating the Common Securitization Platform for Fannie Mae and Freddie Mac. It manages issuance and administration of Single-Family Mortgage-Backed Securities (SF MBS / UMBS), centrally houses loan- and pool-level data in a 100% cloud-based platform, and provides near real-time reporting, analytics, and operational services to support lenders, GSEs, and investors. The company emphasizes data management, risk and cybersecurity, and enabling liquidity in the primary mortgage market to facilitate home purchases and refinances.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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