Lead Software Engineer (Generative AI - Risk Technology)

Quick Facts

• Role: Lead Software Engineer (Generative AI – Risk Technology)

• Focus: Full-stack engineering for AI-powered risk management, using distributed microservices and cloud platforms

Description

Lead a portfolio of diverse technology projects and a team of developers to build and deploy proprietary solutions for risk management powered by state-of-the-art AI. Collaborate with the GRC team and partners across the company to deliver cloud-based capabilities that meet regulatory needs and provide customer value. Provide technical leadership for design, development, operational excellence, and continuous improvement across Agile teams.

Responsibilities

• Lead distributed microservices and full-stack systems to support regulatory requirements
• Experiment with and learn new technologies; participate in internal and external technology communities
• Collaborate with digital product managers to deliver robust cloud-based solutions
• Provide technical leadership and direction across Agile teams
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Improve system performance via refactoring, technical debt reduction, and operational excellence
• Influence long-term technology strategy by evaluating emerging tools and practices
• Build synchronous and asynchronous APIs

Requirements

• Bachelor’s degree or higher in Computer Science or a related quantitative field (e.g., Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of software engineering experience (internship experience does not apply)
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits
• Eligible for performance-based incentive compensation (cash bonus and/or long-term incentives)