SW Engineer at Visa in Foster City, CA

Summary: Visa is a world leader in payments technology, facilitating transactions globally. They are seeking an experienced AI/ML Engineer to design and scale next-generation artificial intelligence capabilities for Finance Technology, focusing on the Source-to-Collections ecosystem, while balancing core application development and automation. Responsibilities: - Design, build, and scale next-generation artificial intelligence capabilities for Finance Technology - Develop LLM-based applications, intelligent agents, AI-powered automation, scalable machine learning pipelines, and generative AI solutions - Work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms - Integrate AI capabilities into existing enterprise systems while maintaining strong engineering discipline - Work effectively with product owners, engineers, architects, finance stakeholders, and leadership - Stay current with emerging AI/ML technologies Required Qualifications: - Bachelor's degree with 6 months - 2 years of relevant AI/ML, data science, or software engineering experience Preferred Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related field - 2 years of experience in a software engineering, AI engineering, machine learning engineering, or data engineering role - Hands-on development experience with Python and Java - Experience building backend services using Java, Spring, REST APIs, and enterprise application frameworks - Strong foundation in AI/ML concepts, data engineering, NLP, LLMs, and modern software development practices - Experience delivering production-grade LLM-based applications, AI agents, RAG solutions, or AI-powered automation platforms - Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Hugging Face, MLflow, Docker, Kubernetes, or similar technologies - Experience with large-scale data processing, distributed systems, cloud-native architectures, and enterprise data platforms - Demonstrated ability to build scalable AI pipelines and integrate models into real-time or near-real-time enterprise systems - Proven track record delivering AI/ML or generative AI projects with high quality and timely execution - Experience with model evaluation, AI safety testing, hallucination mitigation, prompt/version management, guardrails, monitoring, and continuous improvement - Experience ensuring AI solution quality through rigorous testing, validation, data quality checks, scalable ingestion frameworks, and observability - Experience optimizing AI/ML application performance, including latency, cost, throughput, accuracy, reliability, and scalability - Ability to measure and demonstrate productivity, operational, or business improvements through clear metrics and reporting - Strong communication skills with the ability to explain complex AI concepts to technical and non-technical audiences - Experience working with finance, procurement, sourcing, billing, collections, accounting, or enterprise business applications - Experience collaborating across global, diverse, inclusive, and cross-functional teams - Ability to manage multiple concurrent assignments across AI engineering, automation, and application development - Advanced degree or certifications in AI/ML, data science, cloud AI platforms, or generative AI preferred Required Skills: AI/ML Engineering, Generative AI, Large Language Models (LLMs), Prompt Engineering, Embeddings, Retrieval-Augmented Generation (RAG), Intelligent Agents, Vector Databases, Model APIs, Orchestration Frameworks, Python, Java, Spring Framework, REST APIs, Enterprise Application Frameworks, AI/ML Frameworks, TensorFlow, PyTorch, scikit-learn, Hugging Face, MLflow, Docker, Kubernetes, Data Engineering, Natural Language Processing (NLP), Large-scale Data Processing, Distributed Systems, Cloud-native Architectures, Enterprise Data Platforms, Model Evaluation, AI Safety Testing, Hallucination Mitigation, Prompt/Version Management, Monitoring, Scalable AI Pipelines, AI-powered Automation, Software Development Practices, Finance Domain Experience Benefits: Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, Wellness Program