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U.S. Financial Technology · 9 hours ago

Lead AI and Data Solution Engineer

United States

Full-time

Remote

Lead/Staff

$200K/yr - $215K/yr

8+ years exp

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 pipelines and AI solutions, ensuring alignment with business objectives and technical best practices.

Financial ServicesInformation TechnologySecurity

Comp. & Benefits

No H1B

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

Qualification

Data EngineeringLarge Language Models (LLMs)Model Context Protocol (MCP)AWS ServicesSnowflakeAI Solution DevelopmentCloud-native ArchitecturesAI/ML FrameworksCommunication SkillsCollaboration SkillsPresentation Skills

Required

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. U.S. FinTech does not offer H-1B sponsorship for this position

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