Associate Cybersecurity Engineer

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

The ideal candidate is an Assoc. Cybersecurity Engineer with a strong background in AI/ML. In this role, you will be responsible for designing and implementing solutions that leverage Large Language Models (LLMs) and agentic AI systems to enable automation across a range of security functions. You will work closely with security leads and subject matter experts to apply AI and machine learning to inline security platforms, including firewalls, proxies, SASE, and Arbor DDoS systems. Your key duties will involve optimizing models, managing the full MLOps lifecycle from data to deployment, and writing high-quality Python code. Strong proficiency in frameworks like LangChain, Hugging Face, or LlamaIndex is essential. Experience with containerization (Docker/Kubernetes) is also required to streamline model deployment and integration.

Essential Functions:

• Design and Develop AI Solutions: Architect and implement solutions leveraging Large Language Models (LLMs) and transformer models. This includes fine-tuning, adapting, and optimizing models for specific applications.
• Optimize and Scale Models: Implement and enhance machine learning and Deep Learning models, focusing on performance, scalability, and efficiency.
• Build Autonomous AI Systems: Collaborate on the development and integration of agentic AI systems that can make autonomous decisions to automate complex processes.
• Manage the ML Lifecycle: Contribute to the full machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, tuning, deployment, and monitoring.
• Implement MLOps: Apply MLOps practices to automate and streamline model deployment pipelines, versioning, continuous integration, and delivery.
• Write High-Quality Code: Develop clean, efficient, and maintainable Python code to build both ML models and AI-driven applications.
• Collaborate Cross-Functionally: Work closely with data engineering, software development, and product teams to successfully deploy models into production environments.
• Innovate and Stay Current: Stay informed on the latest advancements in AI research and emerging technologies to continuously innovate and improve our solutions.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Basic Qualifications:
•Bachelor's degree, OR 3+ years of relevant work experience

Preferred Qualifications:
•Bachelor's degree, OR 3+ years of relevant work experience
•2 or more years of work experience.
•Minimum of 3-5 years of experience in AI/ML engineering with a bachelor's degree, or 2+ years of experience in Agentic AI with an advanced degree or Certificate.
•Proven Track Record: Demonstrated experience in training, fine-tuning, and optimizing machine learning models for real-world applications.
•Generative AI: Strong experience developing solutions with Large Language Models and generative AI frameworks such as LangChain, Hugging Face, or LlamaIndex.
•Agentic AI: Familiarity with the concepts and implementations of agentic AI or autonomous AI agents is highly preferred.
•MLOps: A solid understanding of machine learning algorithms (e.g., linear regression, classification, clustering). Practical knowledge of MLOps, including model deployment tools, CI/CD pipelines, containerization (Docker/Kubernetes).
•Technical Proficiency: Strong proficiency in Python with expertise in ML and GenAI frameworks like TensorFlow, PyTorch, Scikit-learn, LangChain, or LangGraph.
•Data Workflows: Solid understanding of data workflows, including data collection, cleaning, transformation, and feature engineering.
•Strong programming skills in Python, with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.
•Familiarity with firewalls, containerization tools such as Docker and Kubernetes.
•Prior internship or project experience in a related field.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.