Lead AI and Data Solution Engineer

U.S. Financial Technology

. Lead the design, development, and deployment of enterprise-scale data and AI solutions aligned with business objectives and technical best practices .

Posted 10/8/2026full-timeRemote • United StatesSenior💰 $200,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying enterprise-scale AI solutions, particularly with large language models and agentic AI workflows. Proficient in leveraging AWS and Snowflake for data pipeline development while ensuring compliance with financial services regulations.

Highest-signal resume keywords

Large Language Models (LLMs)AWS Services (Glue, S3, Lambda, SageMaker)Model Context Protocol (MCP)Python ProgrammingAI Solution Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAI Solution DevelopmentAgentic AI SystemsAI Application DevelopmentModel InterpretabilityWorkflow AutomationData Pipeline DevelopmentAI/ML FrameworksPrompt EngineeringData Governance

Soft Skills

Excellent CommunicationCollaborationPresentation SkillsMentorship

Tools & Technologies

LangChainLangGraphN8nAWS BedrockLlamaIndexFastAPISnowflake

Industry Keywords

Financial ServicesComplianceSecurityData Governance

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Lead the design, development, and deployment of enterprise-scale data and AI solutions aligned 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 LangChain, LangGraph, and n8n for agent orchestration, workflow automation, and business-system integration
Develop, integrate, and manage Model Context Protocol (MCP)-based solutions for model interpretability, context management, and scalable deployment
Leverage AWS and Snowflake to build scalable, secure, and efficient pipelines for structured and unstructured data
Partner with technology, business, risk, legal, and compliance stakeholders to deliver integrated solutions
Monitor emerging AI, data engineering, and cloud-computing technologies and drive continuous improvement
Ensure solutions meet financial-services regulatory, security, and compliance requirements
Provide technical leadership and mentorship to junior team members

Requirements

What you’ll need

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
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
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
Advanced proficiency in Python programming, including designing, developing, testing, and troubleshooting production-grade AI/ML applications and reusable frameworks
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
Successful completion of a background investigation, potentially including a credit check

Benefits

Comp & perks

Performance bonus
401k match
Healthcare coverage
PTO
Broad range of other benefits