Lead AI and Data Solution Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design, development, and implementation of enterprise-level data and AI solutions, ensuring they align with business goals and adhere to technical best practices.

• Architect, implement, and enhance large language models and agentic AI workflows aimed at business automation and decision-making support.

• Create and deploy AI solutions utilizing top frameworks like LangChain, LangGraph, and n8n for scalable agent orchestration, workflow automation, and seamless integration with business systems.

• Develop, integrate, and manage solutions based on MCP to improve model interpretability, context handling, and large-scale deployment.

• Utilize AWS and Snowflake to construct scalable, secure, and efficient data pipelines for both structured and unstructured data.

• Collaborate with cross-functional teams, including technology, business, risk, legal, and compliance stakeholders, to provide integrated solutions.

• Keep abreast of emerging technologies and industry trends in AI, data engineering, and cloud computing, fostering continuous improvement and innovation.

• Ensure all solutions comply with regulatory, security, and compliance standards pertinent to the financial services sector.

• Offer technical leadership and mentorship to junior team members.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related discipline.

• At least 8+ years of experience in data engineering, AI solution development, or similar roles.

• Demonstrated expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP).

• Solid experience in developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration.

• Practical experience in building AI applications with Python frameworks such as LangChain, LlamaIndex, FastAPI, and AWS/OpenAI SDKs.

• Extensive experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.).

• Experience in the financial services or mortgage industry is preferred.

• Candidates must be authorized to work in the US without needing employer sponsorship now or in the future.

🏝️ Benefits

• Performance bonus

• 401k match

• Healthcare coverage

• PTO

• Broad range of other benefits