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The Principal AI/ML Engineer will lead the development of AI/ML platforms, drive technology architecture, ensure quality and integration, and provide strategic leadership while managing a team of engineers.

Design, build, and maintain scalable backend services and public REST and internal gRPC APIs. Lead system design, implement automated testing, CI/CD, monitoring, and performance improvements. Mentor engineers, conduct code reviews, troubleshoot production incidents, author run books and design docs, and drive cross-team projects as tech lead.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Develop and implement AI infrastructure, focusing on distributed systems and cloud-native architecture to enable agentic workflows and high-scale data operations.

Design, build, and maintain high-performance, scalable web applications and shared component libraries (Angular preferred). Drive testing strategies, CI/CD automation, production support, cross-team projects, and design-system accessibility and performance improvements.

The Channel Success Manager builds relationships with consulting channels, provides training, supports sales efforts, ensures customer satisfaction, and collaborates internally to enhance service delivery.

Perform month-end close and reporting, prepare journals and reconciliations, manage balance sheet integrity, handle intercompany, treasury and fixed asset accounting, support statutory reporting and audits, assist AP/AR and cash management, collaborate with stakeholders, and drive process improvements and automation within finance.

The Lead Software Engineer will develop the EnCompass platform, drive architectural strategies, promote innovation, and work collaboratively within the engineering teams.

Lead design and delivery of a unified, real-time billing platform that embeds AI/ML to automate reconciliations, detect anomalies, enable predictive insights, and create autonomous finance workflows across global billing operations.

Lead architecture and adoption of enterprise AI and agentic systems: design multi-agent orchestration, integrate LLMs securely, define CI/CD and reliability standards, lead threat modeling and chaos testing, build reusable platform tooling, mentor senior engineers, and drive cross-team roadmaps and stakeholder alignment.