AI Principal Engineer

Purpose

We fight for everyone’s opportunity for a better financial future. We believe in being bold and committed to action. Our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work.

Profile Summary

The AI Principal Engineer (IC Director) role is responsible for leading the design and delivery of complex, production-grade AI systems with significant business impact. This role serves as a technical leader across multiple initiatives, owning major components or domains and influencing architectural direction, engineering practices, and solution quality. The position operates with a high level of independence, driving delivery outcomes while collaborating with product, engineering, and governance partners. The role is accountable for ensuring AI solutions are scalable, reliable, and aligned with enterprise standards in a regulated environment.

Profile Description

• Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval pipelines, and model-driven services
• Own technical direction for major components or domains within AI platforms or products
• Partner with product, data, and business stakeholders to translate requirements into scalable AI solutions
• Contribute to architecture decisions, including model selection, system integration, and API design
• Ensure solutions meet enterprise standards for security, privacy, and responsible AI
• Mentor and guide engineers, contributing to team capability and engineering quality
• Identify technical risks and implement appropriate mitigation strategies

Knowledge & Experience

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred
• Significant experience delivering production AI/ML systems, including model deployment and operationalization
• Strong proficiency in programming languages such as Python, TypeScript, or Rust
• Experience with AI/ML frameworks, LLM technologies, and data pipelines
• Knowledge of model lifecycle management, MLOps, and production reliability practices
• Demonstrated ability to lead complex technical initiatives
• Strong problem-solving skills and ability to work across disciplines