Lead AI and Data Solution Engineer

U.S. Financial Technology 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. The ideal candidate will lead the design and implementation of scalable data and AI solutions, ensuring compliance with business objectives and industry standards.

Responsibilities:

• 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
• 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
• Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.)
• Applicants must be 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
• 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
• Experience in the financial services or mortgage industry