AI Security Architect
Experience: 10plus years
- Develop proof-of-concept prototypes and scalable enterprise products for promising cybersecurity solutions leveraging AI/ML, ensuring alignment with Visa’s existing security architecture and strategic goals.
- Identify and assess innovative cybersecurity tools, companies, and concepts that can enhance Visa’s security architecture.
- Work closely with internal stakeholders, including the Cybersecurity Product Development team, to transition prototypes into fully operational products and solutions.
- Automate security tools and processes to advance security capabilities across key cybersecurity areas, including access control, defense-in-depth, secure coding practices, and AI agent governance.
Basic Qualifications
- 7+ years of relevant work experience out of 10 years experience.
- 1 year of Agentic AI Development experience
- Cybersecurity training or education
Preferred Qualifications
- Minimum of 7+ years of experience in developing highly available and scalable enterprise services using Python. Experience with Java, Go, Rust or any other object-oriented programming language is a plus.
- 1+ years of hands-on experience with GenAI technologies — including LLMs, prompt engineering, embeddings, fine-tuning, and AI agents or agentic pipelines.
- Strong software engineering background with experience in Python, PyTorch, TensorFlow, or JAX..
- Hands-on experience with LLMs (e.g., GPT, Claude, Mistral), vector databases (e.g., FAISS, Pinecone), and orchestration tools (e.g., LangChain, LangGraph, Autogen).
- Hands-on experience with design and development tools like IntelliJ, VSCode, Postman, and Jupyter.
- Expertise in evaluating various large language models (LLMs), assessing their performance, and comparing their capabilities to identify suitable models based on business requirements.
- Hands-on experience with AI model APIs and AI agent frameworks.
- Proficiency in modern backend architectures, including cloud-native development (e.g., AWS, GCP, Azure), containerization (Docker/Kubernetes), and distributed systems.
- Proficiency in working with both RDBMS and NoSQL databases.
Mandatory Skills: AI Security .
Experience: 8-10 Years .
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