AI Software Engineering Manager - NBP

Key Responsibilities

• Lead, mentor, and develop software engineers across multiple projects and initiatives.
• Foster a collaborative, high-performing engineering culture focused on accountability, innovation, and continuous improvement.
• Manage hiring, performance reviews, coaching, succession planning, and career development.
• Align team priorities, capacity, and execution with organizational goals and business objectives.
• Serve as a player-coach by contributing to architecture, technical design, code reviews, and complex problem-solving.
• Lead the delivery of cloud-native applications, including new platform development and modernization of existing solutions.
• Promote engineering best practices, software quality, and scalable solution design.
• Evaluate technology options, architectural approaches, and build-versus-buy decisions.
• Champion the adoption of AI-assisted software development tools and engineering practices.
• Drive implementation of AI-enabled solutions that improve developer productivity, software quality, and delivery velocity.
• Collaborate with engineering leadership to identify opportunities for responsible and scalable AI adoption throughout the software development lifecycle.
• Cross-functional Collaboration
• Partner with engineering, product, business, and operations teams to deliver technology solutions aligned with strategic priorities.
• Communicate technical concepts effectively to both technical and non-technical stakeholders, including executive leadership.
• Support delivery within a regulated environment by adhering to security, compliance, and governance standards.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent professional experience).
• 8+ years of software engineering experience with increasing technical leadership responsibilities.
• Current or recent experience managing software engineering teams, including hiring, coaching, performance management, and talent development.
• Strong hands-on experience designing and deploying solutions in AWS cloud environments.
• Experience developing modern applications using technologies such as Python, C#, RESTful APIs, and cloud-native services.
• Experience working with AI-enabled software development environments, including AI-assisted coding tools or AI-integrated application delivery.
• Strong understanding of software architecture, cloud-native application development, and modern engineering practices.
• Excellent communication and stakeholder management skills with the ability to translate technical concepts into business value.
• Demonstrated success delivering technology initiatives in fast-paced, collaborative environments with a high degree of ownership and accountability.