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 current with developments in GenAI and related areas to leverage for innovation.
• Ensure ethical use of AI, adhering to best practices and guidelines.
• Facilitate internal communication and collaboration mechanisms within the Center of Excellence.
• 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 Payments' values.

Requirements

• Strategic thinker with strong intuition and first principles thinking around business performance, drivers, and competitive landscape.
• Strong project leadership skills with the ability to manage multiple complex and ambiguous priorities across teams and stakeholders.
• Hands-on engineering experience with production-ready GenAI & ML applications, including at least 6 years in software development and several years leading an engineering team with AI/ML work.
• 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.
• 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, execution, and decision-making aligned with business goals.
• 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 such as Apache Spark and Kafka.
• Knowledge of data governance and data security best practices.
• Experience with CI/CD tools and automation for AI/ML workflows.
• Knowledge of Snowflake and AWS/GCP cloud technologies.
• Understanding 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 AI/ML.

Qualifications

• At least bachelor's or Master's degree in Computer Science, AI, or a related area
• At least 6 years of experience in software development, including AI/ML applications
• Several years of experience leading an engineering team

Benefits & Perks

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