Senior Manager, AI Engineering
- Compensation
- Not disclosed
- Location
- ALPHARETTA, GEORGIA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Not specified
- Posted
Skills
Must have
- Strategic thinker with strong intuition and first principles thinking around business performance, business drivers, and overall competitive landscape
- Strong project leadership and ability to manage multiple complex and ambiguous priorities across many teams and stakeholders
- Hands on engineering experience with production ready Gen AI & ML application. At least 6 years of experience in software, including building enterprise-grade systems. Should include several years lea
- Expert on industry trends and various LLMs, including LLM Application development tools & frameworks
- Excellent communication and storytelling skills
- Passionate engineering leader with experience building high performance teams, must lead and manage a team of software engineers, that includes backend, frontend, some design, etc
- At least bachelor’s or Master's degree in Computer Science, AI, or a related area
- Proficiency in stakeholder management to effectively communicate and manage expectations of those linked to the work outside your team
- 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
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.
Full description
Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.
This AI software engineering leadership role is pivotal in delivering strategic Generative AI (GenAI) and Machine Learning (ML) initiatives that will transform Global Payments. As the Manager of AI Engineering, you will lead the strategic integration of artificial intelligence within the business context, driving strategic innovation and transformation. You will oversee the analysis of business processes, identify areas for AI enhancement, and design advanced AI solutions that align with our strategic business objectives. Your deep technical expertise in AI areas and business acumen will help bridging the gap between business vision and technical execution.
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. This work will include assessing & integrating GenAI into our existing products and systems to boost efficiency, personalize consumer experiences, and create entirely new offerings.
- 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
- Capture opportunities and clarify business/customer problem statement, both for custom AI build-out and 3rd party AI tool adoption
- Drive cross-functional engagement/alignment as we move from idea to tech 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, and leverage this knowledge to drive innovation
- Ensure the ethical use of AI, adhering to best practices and guidelines
- Facilitate internal COE communication and collaboration mechanisms
- Develop and implement corporate communication strategies to increase awareness and understanding of generative AI capabilities and updates across Global Payments
- Build and nurture an internal community of GenAI enthusiasts and practitioners, including internal platforms for employees to share GenAI experiences and ideas