Manager, AI Engineering

About the Role

Key Responsibilities

• Lead, mentor, and manage a team of software engineers, in building GenAI-powered products, GenAI product components, and GenAI prototypes to help drive value for Global Payment in leveraging new GenAI technology to create value.
• Assess & integrate GenAI into existing products and systems to boost efficiency, personalize consumer experiences, and create new offerings.
• Measure and monitor the usage and usefulness of the teams' builds to ensure they drive business outcomes.
• Collaborate to power corporate and market usage of enterprise-hardened GenAI end-user tools.
• Capture opportunities and clarify business/customer problem statements for custom AI build-out and third-party AI tool adoption.
• Drive cross-functional engagement from idea to proof of concept, use case development, pilot, and deployment.
• Manage resources and project timelines to ensure successful delivery of projects and deliverables.
• Stay up-to-date with the latest developments in GenAI and related areas to drive innovation.
• Ensure the ethical use of AI, adhering to best practices and guidelines.
• Facilitate internal communication and collaboration mechanisms within the COE.
• Develop and implement corporate communication strategies to increase awareness of generative AI capabilities.
• Build and nurture an internal community of GenAI enthusiasts and practitioners, including internal platforms for sharing experiences and ideas.
• Organize internal and external GenAI-focused events and discussions.
• Lead by example in adopting innovative practices in corporate communication.
• Inspire and motivate your team, fostering a positive and productive work environment aligned with Global Payment's values.

Requirements

• Strategic thinker with strong intuition and first principles thinking around business performance and competitive landscape.
• Strong project leadership skills with the ability to manage multiple complex priorities across teams and stakeholders.
• Hands-on engineering experience with production-ready GenAI & ML applications, including several years leading an engineering team and working with AI/ML.
• Expertise in industry trends and various LLMs, including LLM application development tools & frameworks.
• Excellent communication and storytelling skills.
• Experience building high-performance engineering teams with backend, frontend, and design skills.
• At least a bachelor's or master's degree in Computer Science, AI, or a related area.
• Proficiency in stakeholder management to communicate and manage expectations outside your team.
• Experience in strategic planning and execution with strong decision-making skills.
• Some experience in handling compliance and regulatory requirements related to engineering practices.

Nice to Have

• Experience with Natural Language Processing (NLP) and building conversational AI agents.
• Familiarity with big data technologies (Apache Spark, Kafka).
• Knowledge of data governance and data security best practices.
• Experience with CI/CD tools and automation for AI/ML workflows.
• Knowledge in Snowflake and AWS/GCP cloud technologies.
• Understanding of reinforcement learning and its application in agentic AI.
• Experience with real-time data processing and streaming analytics.
• Publications or contributions to open-source projects in the AI/ML field.

Qualifications

• At least 6 years of experience in software engineering, including building enterprise-grade systems.
• Several years leading an engineering team and working with AI/ML.
• Bachelor's or Master's degree in Computer Science, AI, or a related area.

Benefits & Perks

• Paid time off
• Comprehensive benefits package including medical, dental, and vision care
• EAP programs
• Recognition programs
• Retirement and investment options
• Charitable gift matching programs
• Worldwide days of service