• Leverage emerging AI technologies to enhance performance, automation, and data-driven decision-making across systems and processes • Stay current with AI advancements and evaluate opportunities to apply them in solving complex engineering and business challenges • Build and optimize data infrastructure that powers AI and machine learning pipelines, ensuring scalable, high-quality data availability for advanced analytics and modeling • Being a hands-on manager, you will be responsible for both technical (50%) and management (50%) duties • Maintain a value oriented and business driven approach to project prioritization and resourcing • Collaborate effectively across teams and key stakeholders including Product Management, Product UX Design, Infrastructure, Business, other engineering teams • Provide technical direction to software engineers, ensuring timely, quality design and implementation of applications, business logic • Work with application security and security compliance team to ensure application adheres to standards such as HIPAA • Document architecture using technical design documents • Enable and facilitate problem diagnosis and resolution in technical and functional areas • Encourage change, particularly on the side of engineering best practices, developer experience, and process improvements • Advance shift left for quality practices with activities such as unit testing • Establish and maintain effective communications and working relationships with cross-functional teams • Review the work of other engineers in a collegial fashion to promote growth, and to improve quality and engineering practices • People responsibilities - conduct 1:1 meetings, providing feedback, promoting personal development, establishing goals, and plan for career growth • Support production issues and lead Root Cause Analysis (RCA) efforts