Lead AI and Data Solution Engineer

Lead AI and Data Solution Engineer at U.S. FinTech overseeing the development and integration of AI technologies.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $200,000 - $215,000 per yearWebsite

Tools & technologies

AWSCloudPython

Key responsibilities & impact

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.

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
Minimum 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.
Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future.

Comp & perks

ATS Keywords

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Hard Skills & Tools

Data EngineeringAI Solution DevelopmentPrompt EngineeringEnterprise Application IntegrationWorkflow Automation

Soft Skills

Technical LeadershipMentorshipCollaboration