6 days ago
Base Salary
$123k - $191k/yr
Responsibilities
- Design, build, and operate core components of the AI Engineering Platform, including training and experimentation infrastructure, the Batch Platform, agent development frameworks, and the AI Studio developer experience.
- Design and operate large-scale scheduled and on-demand batch scoring, offline model execution, and high-throughput data pipelines for training and feature generation.
- Build self-service APIs, SDKs, and tooling for engineers and data scientists to train, fine-tune, deploy, evaluate, and monitor models and agents.
- Extend agent runtimes and orchestration primitives covering tool calling, memory, planning, and multi-agent coordination.
- Maintain infrastructure for distributed training, high-throughput batch processing, and efficient GPU and compute-cluster utilization.
- Optimize training and batch workloads through distributed scheduling, caching, quantization, and compute right-sizing.
- Embed governance, responsible AI, audit, monitoring, drift detection, hallucination detection, and anomaly detection into platform components.
- Partner with the AI Context Platform, AI Runtime Services, and AI Governance Platform teams.
- Use AI coding agents and LLM-powered developer tools in day-to-day engineering work.
Requirements
- At least 2 years of relevant work experience and a bachelor’s degree in Computer Science, Engineering, or a related technical field, or at least 5 years of relevant work experience.
- Professional experience in software engineering, ML engineering, or platform/infrastructure engineering.
- Knowledge of machine learning and deep learning concepts, including model training, evaluation, transformer and foundation-model architectures, and embeddings.
- Strong software and systems engineering fundamentals in distributed systems, API and SDK design, and cloud infrastructure.
- Proficiency in at least one of Python, Java, or Go.
- Hands-on fluency with coding agents, copilots, and LLM-based development tools.
- Preferred: 4 or more years of relevant work experience.
- Preferred: experience with foundation models or large language models, prompting, fine-tuning, retrieval-augmented generation, and evaluation frameworks.
- Preferred: experience with AI agent systems, tool calling, multi-agent orchestration, memory systems, or agent frameworks.
- Preferred: experience building internal developer platforms, SDKs, or self-service tooling.
- Preferred: experience with feature stores, embedding/vector systems, knowledge graphs, or memory systems.
- Preferred: experience with distributed scheduling, quantization, caching, compute right-sizing, high-scale production systems, or AI governance and responsible-AI controls.
Benefits
- US salary range of $123,400.00 to $191,100.00 per year, with potential bonus and equity eligibility.
- Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program eligibility.
- At least 3 days per week in the office.
- Travel required 5–10% of the time.
- Work hours vary according to department needs.
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.