Senior AI Engineer
Mastercard1 day ago
Vancouver, CanadaSenior
Responsibilities
- Build and ship agentic systems and internal AI engineering tooling.
- Design agent orchestration, tool and API integrations, memory and context handling, prompts, workflows, evaluation harnesses, and safety guardrails.
- Develop scalable AI and machine learning systems and implement models in production.
- Build training pipelines and deployment frameworks, and conduct hyperparameter tuning and validation.
- Monitor model and agent performance, manage versioning, troubleshoot systems, and maintain operational stability.
- Partner with data scientists to productionize proofs of concept and work with engineering teams to deliver them.
- Lead smaller projects and contribute specialized technical knowledge as an experienced individual contributor.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field, or equivalent practical experience.
- Hands-on experience building production or near-production agentic systems, including frameworks, tool and API integration, multi-step workflows, evaluation, and guardrails.
- Practical experience with Generative AI and LLMs, including prompt design, RAG patterns, and model selection and evaluation.
- Experience partnering with data scientists or researchers to productionize proofs of concept and deliver them with engineering partners.
- Proficiency in Python and SQL and solid software engineering fundamentals in testing, version control, packaging, and code review.
- Experience building and consuming APIs, integrating platforms and third-party services, deploying applications or models to production, and supporting them operationally.
- Experience with CI/CD and build tooling such as Git, Jenkins, Maven, and Artifactory.
- Working knowledge of machine learning, deep learning, model lifecycles, hyperparameter tuning, and validation.
- Experience with Databricks, Spark, or comparable distributed data processing environments and cloud environments.
- Preferred: experience with LangGraph, LangChain, CrewAI, Model Context Protocol, agent evaluation and observability, GitHub Copilot, Claude Code, MLflow, Comet, Weights and Biases, Docker, Kubernetes, SDKs, or internal developer platforms.
- Preferred: familiarity with responsible AI, data governance, and sensitive data handling.
Benefits
- Competitive pay based on location, experience, and qualifications.
- Potential eligibility for a discretionary annual incentive program.
- Position is based in Vancouver, Canada, with compensation stated in CAD.
Tech Stack
Categories
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).