Director – AI Engineering
| Company | Global Payments |
|---|---|
| Location | Columbus, GA, USA, Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Expert or higher |
Requirements
- Hands on engineering experience with production ready Gen AI & Machine Learning applications.
- At least 10 years of experience in software, including building enterprise-grade systems.
- Several years leading an engineering team and work with AI/ML.
- Expert on industry trends and various LLMs, including LLM Application development tools & frameworks.
- Excellent communication and storytelling skills.
- At least bachelor’s or Master’s degree in Computer Science, Math, AI, or a related area.
- Proficiency in stakeholder management to effectively communicate and manage expectations of those linked to the work outside your team.
- Proficiency in project management, resource allocation and budgeting to ensure timely, efficient and successful delivery of outcomes.
- Experience in strategic planning and execution with strong decision-making skills to align initiatives with business goals and make informed choices that benefit the organization.
- Some experience in handling compliance and regulatory requirements to ensure engineering practices adhere to relevant laws and regulations.
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.
- Passionate about customer success with what your teams build. Take care to measure and monitor, that what your teams build is used, and useful to driving business outcomes.
- Collaboratively power corporate and market usage of Enterprise-hardened GenAI end-user tools.
- 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, and leverage this knowledge to drive innovation.
- Ensure the ethical use of AI, adhering to best practices and guidelines.
- Work effectively in a cross-functional team to collaborate with different global functions and markets.
- Inspire and motivate your team, and foster a positive and productive work environment consistent with Global Payment’s values.
Preferred Qualifications
- 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, Salesforce and cloud technologies (AWS and/or GCP).
- 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.