Lead AI Engineer – Financial Systems & Licensing Platforms

Build intelligent enterprise applications that drive business innovation.

About The Role

As a Lead Software Engineer, you will design, develop, and deploy enterprise software solutions supporting financial systems and AI-powered applications. You will collaborate with product managers, architects, data scientists, and business stakeholders to build scalable, cloud-native applications while driving technical excellence across the software development lifecycle.

Responsibilities

• Lead the design, development, and deployment of enterprise software solutions for financial systems and AI-powered applications.
• Architect and implement scalable services that integrate with internal and third-party financial platforms.
• Collaborate with Product Management, Finance, and Data Science teams to define technical requirements and deliver intelligent automation solutions.
• Apply machine learning and AI technologies to optimize financial workflows, forecasting, compliance monitoring, and operational efficiency.
• Own the full software development lifecycle, including analysis, architecture, development, testing, debugging, deployment, and documentation.
• Mentor and support software engineers while promoting engineering best practices, innovation, collaboration, and technical excellence.
• Evaluate and adopt emerging technologies in artificial intelligence, enterprise software, and cloud-native development to support long-term platform strategy.

Requirements

• 7+ years of software engineering experience, including technical leadership on complex enterprise applications.
• Experience developing software for enterprise financial systems, licensing platforms, or other business-critical applications.
• Hands-on experience developing and deploying AI-powered solutions using Large Language Models (LLMs) to automate business processes or improve enterprise outcomes.
• Strong programming experience with Java and Python.
• Experience building cloud-native applications on AWS or Google Cloud Platform (GCP).
• Experience with Kubernetes and containerized application development.
• Familiarity with Agile software development methodologies and CI/CD pipelines.
• Excellent communication skills with the ability to collaborate effectively across technical and business teams.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience).

Qualifications

• Experience supporting licensing, digital commerce, financial operations, or enterprise business platforms.
• Knowledge of financial compliance standards, governance, and audit processes.
• Master's degree in Computer Science, Software Engineering, or a related technical field.

Benefits

• Group Health (Medical, Dental, and Vision)
• Paid Time Off
• Paid Holidays
• 401(k) matching
• Group Life and Disability insurance
• Professional Development opportunities
• Wellness programs
• Variety of other perks