GenAI Engineering Manager

Global Payments

Alpharetta (GA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Global Payments is seeking an AI Engineering Manager to lead GenAI and ML initiatives, aligning technical delivery with business objectives. You will mentor engineers, design GenAI-enabled products, and partner with product, data, and security teams to deliver scalable, enterprise-grade solutions.

The role requires hands-on engineering experience, strategic thinking, and the ability to translate business problems into AI use cases.

Qualifications

  • Strategic thinker with strong intuition around business performance and competitive landscape.
  • Hands-on engineering experience with GenAI/ML and enterprise-grade systems; leadership experience.
  • Expert on industry trends and LLM frameworks; able to guide AI strategy.
  • Excellent communication and storytelling skills; effective with stakeholders.

Responsibilities

  • Lead, mentor, and manage a team of software engineers in GenAI-powered products and prototypes.
  • Drive cross-functional engagement from idea to proof of concept, pilot, and deployment.
  • Ensure ethical AI use and governance; stay current with GenAI developments.
  • Develop corporate GenAI communications and nurture an internal GenAI community.
  • Organize internal/external GenAI events and foster a high-performance engineering culture.

Skills

GenAI & ML
Team leadership
AI strategy
Stakeholder management
Communication
Project leadership
Enterprise-grade systems
Strategic thinking
Regulatory/compliance awareness

Education

Bachelor's or Master's in Computer Science / AI

Tools

NLP
Apache Spark
Kafka
Snowflake
AWS/GCP
CI/CD tooling

Job description

Global Payments is seeking an AI Engineering Manager to lead GenAI and ML initiatives, aligning technical delivery with business objectives. You will mentor engineers, design GenAI-enabled products, and partner with product, data, and security teams to deliver scalable, enterprise-grade solutions.

The role requires hands-on engineering experience, strategic thinking, and the ability to translate business problems into AI use cases.

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