Job DescriptionWhat's the Opportunity?Are you a seasoned AI professional passionate about building cutting-edge AI solutions while establishing best-in-class development practices? Join our collaborative and innovative team within Global Payments Technology, where you'll lead the charge in delivering high-performing AI agents and shaping how we build them.
This role is part of the Global Payments Technology team, focusing on building LLM-powered AI agents for the Global Payments domain while establishing robust AI Development Lifecycle (SDLC) practices using Spec-Driven Development methodologies.
What Will You Do?- Lead the design, development, and deployment of AI agents powered by Large Language Models (LLMs) for payment processing and automation use cases
- Establish and champion AI Development Lifecycle (AI SDLC) best practices using Spec-Driven Development approaches
- Architect and implement MLOps pipelines for model training, evaluation, deployment, and monitoring
- Design and enforce standards for AI model specification, documentation, and versioning
- Evaluate, select, and integrate tools and technologies that enhance AI development efficiency and quality
- Mentor team members on AI development best practices, LLM frameworks, and modern ML engineering techniques
- Collaborate with cross-functional teams to define requirements and deliver scalable AI solutions
- Drive continuous improvement in development processes, code quality, and team productivity
- Stay current with emerging AI technologies and assess their applicability to payment systems
What Do You Need to Succeed?Must-Have Skills:- 5+ years of experience in software development with 3+ years focused on machine learning and AI solutions
- Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
- Proven experience building production-grade applications using Large Language Models (LLMs) and frameworks such as LangChain, Langraph, or similar
- Strong understanding of Software Development Lifecycle (SDLC) and experience implementing development best practices
- Hands-on experience with MLOps tools and practices (model versioning, CI/CD for ML, monitoring, A/B testing)
- Experience with cloud platforms (AWS, Azure, Google Cloud, or OpenShift) and containerization (Docker, Kubernetes)
- Demonstrated ability to architect scalable, maintainable AI systems
- Strong leadership and mentorship capabilities with excellent communication skills
- Experience with Spec-Driven Development, API design, or technical documentation standards
Nice-to-Have Skills:- Experience in financial services or payment processing systems
- Knowledge of LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)
- Familiarity with model governance, compliance, and responsible AI practices
- Experience with data engineering and building data pipelines
- Background in natural language processing (NLP) research or advanced AI techniques
- Contributions to open-source AI/ML projects
- Certifications in cloud platforms or AI/ML specializations
What's in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business
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Job SkillsBig Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Additional Job DetailsAddress:180 WELLINGTON ST W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-08-24
Application Deadline:2026-09-25
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
