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 that align with business goals and adhere to technical best practices.

• Design, implement, and refine large language models and agentic AI workflows to enhance business automation and support decision-making processes.

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

• Develop, integrate, and manage solutions based on the Model Context Protocol (MCP) to facilitate model interpretability, context management, and scalable deployment.

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

• Collaborate with technology, business, risk, legal, and compliance teams to provide integrated solutions.

• Keep abreast of emerging technologies in AI, data engineering, and cloud computing, driving ongoing enhancements.

• Ensure that solutions comply with financial services regulations, security, and compliance standards.

• 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.

• Over 8 years of experience in data engineering, AI solution development, or similar positions.

• Established 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 using Python frameworks like LangChain, LlamaIndex, FastAPI, and AWS/OpenAI SDKs.

• Strong background in Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.).

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

• Must be authorized to work in the US without requiring employer sponsorship, now or in the future.

• In-depth understanding of AI/ML frameworks, data pipelines, and cloud-native architectures.

• Practical experience with LLM deployment, fine-tuning, and integration.

• Advanced skills in Python programming, including the design, development, testing, and troubleshooting of production-quality 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 practices.

• Familiarity with data governance, security, and compliance best practices.

• Exceptional communication, collaboration, and presentation abilities.

• Capacity to simplify complex technical concepts for non-technical audiences.

• Successful completion of a background investigation, which may include a credit check.

🏝️ Benefits

• Performance bonus.

• 401k match.

• Healthcare coverage.

• PTO.

• A wide array of additional benefits.