Job Title: AI Software Engineering Leadership Role
Overview
This leadership role is pivotal in delivering strategic Generative AI (GenAI) and Machine Learning (ML) initiatives aimed at transforming Global Payments. As the Manager of AI Engineering, you will lead the integration of AI within the business context, fostering innovation and strategic transformation.
Responsibilities
- Team Leadership: Lead, mentor, and manage software engineers to build GenAI-powered products, components, and prototypes.
- Product Enhancement & Integration: Assess and integrate GenAI into existing products to improve efficiency and personalize consumer experiences.
- Customer Success & Usage: Ensure generated solutions are used effectively to drive business outcomes.
- Market & Corporate Usage: Power enterprise-hardened GenAI tools for market adoption.
- Opportunity Capture: Clarify business problems for AI build-out and third-party AI tools.
- Cross-functional Engagement: Manage transition from idea to proof of concept, pilot, and deployment.
- Project Management: Oversee resources and timelines for successful project delivery.
- Innovation: Stay updated with latest GenAI developments to drive innovation.
- Ethics & Best Practices: Ensure ethical use of AI.
- Internal Communication: Develop strategies to increase awareness of GenAI capabilities.
- Community Building: Foster internal GenAI enthusiasts and organize relevant events.
- Leadership: Inspire teams and embody innovative corporate practices.
Must Have Qualifications
- Strategic thinking with business performance insight.
- Strong project leadership connecting multiple teams.
- Extensive hands-on experience with GenAI and ML applications over 6 years.
- Expert knowledge of industry trends, LLMs, and AI/ML frameworks.
- Excellent communication, storytelling, and team building skills.
- Educational Background: Bachelor’s or Master’s degree in Computer Science, AI, or related.
- Stakeholder management skills.
- Experience in strategic planning, decision-making, and compliance.
Bonus Attributes
- Natural Language Processing (NLP) expertise.
- Familiarity with big data, governance, CI/CD, cloud technologies.
- Reinforcement learning, real-time analytics, open-source contributions.
Abilities
- Initiative-taking, accuracy in work.
- Multi-project effective management.
- Professional interpersonal and organizational skills.
- Critical thinking and adaptability.
- Creativity and independence.
- Cross-team collaboration.
Additional Information
- US work authorization is required; sponsorship is not available.
- Commitment to inclusion and community engagement.
- Competitive benefits package including health, retirement, and community programs.
Job Highlights
- 6+ years in software, AI/ML production applications
- Leadership of high-performance engineering teams
- Expertise in LLMs, NLP, Big Data, Cloud Technologies
- Strategic planning and stakeholder management
- Ethical AI use and compliance
Tags
AI, Machine Learning, GenAI, Leadership, Cloud Technologies