AI Automation Lead

We are seeking a highly experienced AI Automation Lead with 8+ years of engineering experience to bridge the gap between sophisticated data ecosystems and high-performance user applications. This role is responsible for architecting and delivering our multi-agent AI strategy—moving beyond simple chatbot implementations to autonomous, stateful workflows that solve complex, real-world business problems.

This individual operates as a true full-stack product engineer, equally comfortable working across frontend, backend, data orchestration, and AI systems. You will define the technical vision for AI-driven automation, ensuring solutions are scalable, production-grade, and highly available.

• 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

• 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

• 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

You are a full-stack AI systems architect who thrives on building end-to-end solutions—not just components. You move beyond traditional CRUD applications and focus on delivering intelligent, automated systems that solve meaningful business problems.

You take ownership of both the system and the user experience, ensuring that AI capabilities are not only powerful but usable and scalable. You can take an ambiguous goal—like automating a fraud review process—and turn it into a fully functional, multi-agent system with a robust user interface in a matter of weeks.