AI Automation Lead

SoFi•Frisco, TX

5h•Remote

About The Position

SoFi is a next-generation financial services company and national bank that uses innovative, mobile-first technology to help millions of members reach their financial goals. The company is seeking a highly experienced AI Automation Lead with over 8 years of engineering experience. This role is crucial for bridging the gap between sophisticated data ecosystems and high-performance user applications. The AI Automation Lead will be responsible for architecting and delivering SoFi's multi-agent AI strategy, moving beyond simple chatbot implementations to create autonomous, stateful workflows that address complex, real-world business problems. This individual will function as a full-stack product engineer, proficient in frontend, backend, data orchestration, and AI systems, defining the technical vision for AI-driven automation to ensure scalable, production-grade, and highly available solutions.

Requirements

8+ years of professional software engineering experience
Strong expertise in React with the ability to build complex, stateful UIs from scratch
Deep expertise in Python, including async programming and AI/ML frameworks
Experience building multi-agent systems or complex AI workflows (e.g., LangGraph, CrewAI, AutoGen, or similar)
Hands-on experience with Snowflake, including data modeling and AI integrations
Strong experience with Apache Airflow for workflow orchestration
Working knowledge of CI/CD pipelines and containerization (Docker, Kubernetes)
Proven ability to lead technical design and own end-to-end system delivery

Nice To Haves

Experience with Snowflake Cortex or in-database AI processing
Experience fine-tuning or deploying custom ML models
Background in fintech, risk, fraud, or financial systems
Experience migrating manual processes into automated AI-driven systems
Strong system design experience in distributed, production environments

Responsibilities

Design and implement multi-agent AI workflows that enable coordinated task execution across systems (e.g., fraud detection, risk assessment, financial modeling)
Build human-in-the-loop systems that allow users to monitor and intervene in automated processes
Integrate Snowflake Cortex for in-database AI workloads, including LLM functions, vector search, and ML processing
Develop complex, data-rich user interfaces using React to visualize and control AI workflows
Build scalable backend services in Python with a focus on performance, concurrency, and clean API design
Orchestrate workflows and automation pipelines using Apache Airflow
Leverage Snowflake and dbt to ensure clean, governed, and high-performance data pipelines
Maintain infrastructure as code and CI/CD pipelines to enable reliable and rapid deployments
Optimize performance and cost of LLM usage and internal AI systems
Lead architectural decisions and set engineering standards across the team
Conduct code reviews, mentor engineers, and promote a culture of ownership
Partner with Product to translate business problems into scalable automation solutions