U.S. Financial Technology (U.S. FinTech) is seeking an experienced Lead AI and Data Solution Engineer to drive the development, integration, and deployment of advanced AI, data engineering, and cloud-based solutions to support the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac and the mortgage-backed securities market.
Requirements
- 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.).
- Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures.
- Hands-on experience with LLM deployment, fine-tuning, and integration.
- Proficiency in agentic AI design patterns and implementation.
- Expertise in Model Context Protocol (MCP) for context-aware model deployment and management.
Responsibilities
- Solution Engineering: Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices.
- LLM and Agentic AI: Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
- Framework Expertise: 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
- Model Context Protocol (MCP): Develop, integrate, and manage MCP-based solutions to enhance model interpretability, context management, and deployment at scale.
- Cloud and Data Engineering: Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data.
- Innovation: Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation.
- Governance and Compliance: Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry.
Other
- 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.
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future.
- Excellent communication, collaboration, and presentation skills.
- Ability to translate complex technical concepts for non-technical stakeholders.
