Lead AI Engineer – Senior AI - Data Solutions Engineer

Job Title: Lead AI Engineer – Senior AI & Data Solutions Engineer

Location: Bethesda, MD (100% Remote)

Work Arrangement:

·         This position is 100% remote; candidates may reside anywhere in the United States.

·         No onsite presence is required despite the Bethesda, MD location reference.

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·         Candidates must be authorized to work in the U.S. without current or future sponsorship.

·         This is a 6-month contract, 40 hours/week.

·         Strong communication skills are mandatory.

·         Candidates must have prior financial services and mortgage industry experience.

·         Local candidates are not required.

Position Overview:

·         U.S. Financial Technology (U.S. FinTech) is seeking a highly experienced Lead AI and Data Solution Engineer to design, develop, and deploy enterprise-scale AI and data engineering solutions.

·         This role will support the largest and most advanced mortgage securitization platform in the world, enabling the Uniform Mortgage-Backed Security (UMBS) for Fannie Mae and Freddie Mac.

·         The Lead AI Engineer will drive innovation across agentic AI systems, large language models (LLMs), Model Context Protocol (MCP), and cloud-native data platforms.

·         The ideal candidate is a hands-on technical leader with deep AWS and Snowflake expertise, strong financial domain knowledge, and a proven ability to deliver secure, compliant AI solutions in regulated environments.

Key Responsibilities:

·         Lead the architecture, design, development, and deployment of enterprise-scale AI and data engineering solutions aligned with business objectives

·         Architect and implement LLM-based and agentic AI workflows for automation, analytics, and decision support

·         Design and deploy AI solutions using frameworks such as LangChain, LangGraph, and n8n for agent orchestration and workflow automation

·         Develop, integrate, and manage Model Context Protocol (MCP) solutions for scalable, context-aware AI deployments

·         Build and optimize secure data pipelines using AWS and Snowflake for structured and unstructured data

·         Collaborate with cross-functional teams including technology, business, risk, legal, and compliance stakeholders

·         Ensure solutions meet regulatory, security, and compliance requirements specific to financial services

·         Stay current with emerging AI, data engineering, and cloud technologies to drive continuous innovation

·         Provide technical leadership and mentorship to junior engineers

Mandatory Qualifications:

·         8+ years of experience in data engineering, AI solution development, or related technical roles

·         Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP)

·         Hands-on experience developing AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise integration

·         Strong experience with Snowflake and AWS services such as Glue, S3, Lambda, SageMaker, and related tools

·         Demonstrated experience delivering AI and data solutions in financial services or mortgage industry environments

·         Deep understanding of cloud-native architectures, AI/ML frameworks, and data pipelines

·         Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders

·         U.S. Citizenship is required

Preferred Qualifications:

·         Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

·         Experience with AI model deployment, fine-tuning, and production integration

·         Expertise in data governance, security, and compliance best practices

·         Prior experience supporting highly regulated financial platforms or large-scale enterprise systems