V

Visa

Runs a global network for digital payments

Cybersecurity Engineer - AI Agent

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

Requirements

  • At least 2 years of relevant work experience and a bachelor's degree, or at least 5 years of relevant work experience.
  • Product development experience.
  • Agent development experience.
  • Strong understanding of cybersecurity incident response concepts.
  • Experience with agentic design patterns and methods, including using generative AI models via function calling and specialized prompting, and familiarity with LangChain/Smith, CrewAI/CamelAI, or other generative AI agent and tool-based solutions.
  • A minimum bachelor's degree from an accredited institution.
  • Hands-on experience developing and coding generative AI agentic solutions using Python across a large code base.
  • Experience with standard software development practices, source control, continuous integration/continuous delivery pipelines, and coding.
  • Strong Linux and systems engineering knowledge.
  • Expert-level Python experience and Python web frameworks.
  • Experience with Django, Angular, React, and/or JavaScript.
  • Ability to work independently and communicate through continuous documentation and JIRA ticket updates.
  • Experience in project life-cycle activities on development and maintenance projects, including continuous integration/continuous delivery and tools development.
  • At least 4 years of experience in Python or similar development technology.
  • Experience with Python development for cybersecurity automation, investigation workflows, API integrations, and production support.
  • Cybersecurity incident response experience, including alert triage, evidence collection, enrichment, containment, remediation tracking, and analyst workflow improvement.
  • Experience with AI development design patterns, including agentic workflows, tool-calling, supervisor agents, sub-agents, planning agents, validation agents, and context management.
  • Experience with security orchestration, automation and response (SOAR), security information and event management (SIEM) tools, web application firewalls, firewalls, endpoint security, cloud security, or threat-intelligence platforms.

Responsibilities

  • Use modern generative AI coding tools and agentic development patterns to design, build, test, and deliver cybersecurity automation solutions.
  • Create and use agents, sub-agents, agent swarms, memory, context, and prompt refinement methods.
  • Develop Python agents and sub-agents for alert triage, evidence collection, enrichment, investigation summarization, remediation recommendations, and analyst workflow automation.
  • Deliver production-ready code using development tools and harnesses such as Codex, Claude Code, and CLINE, focusing on supervisor-agent workflows that coordinate planning, coding, and validation.
  • Develop and release cybersecurity investigation agents with safe tool use, clear execution boundaries, and auditability across existing large tool bases.
  • Create generative AI-enabled MCP, A2A, and tool-based REST API integrations.
  • Work with relational and non-relational databases, including SQL and Elastic, and cloud-based data storage systems.
  • Build production-ready Python, Django, Linux web-stack, and containerized applications for secure internal tools, APIs, dashboards, and cybersecurity automation services.
  • Apply SQL, Elastic Stack, Lucene-based search, and large-scale data analysis to correlate security signals and support cybersecurity investigations.
  • Design, containerize, deploy, and operationalize solutions using continuous integration/continuous delivery, automated testing, validation, monitoring, and quality assurance practices.
  • Validate agentic systems through unit, integration, regression, and security testing; tool-call review; generated-code review; and agent behavior evaluation.
  • Troubleshoot and optimize Python applications, Linux environments, containers, APIs, web services, and cybersecurity automation workflows.
  • Work with stakeholders to clarify requirements, iterate on designs, deliver working solutions, document outcomes, and support production deployments.
  • Collaborate across cybersecurity, engineering, operations, and product teams in a fast-moving delivery environment.

Desired Qualifications

  • Three or more years of work experience with a bachelor's degree, or more than two years of work experience with an advanced degree such as a master's, MBA, JD, or MD; master's graduates must have at least two years of relevant work experience.
  • Financial services and card payments experience.
  • Anthropic Claude, OpenAI Codex, OSCP, or similar AI engineering and cybersecurity certifications.

About the Company

Visa

Runs a global network for digital payments

Visa runs a global payment network that connects banks, merchants and consumers so card purchases and money transfers move between financial institutions. Its VisaNet system handles authorization, clearing and settlement, linking the bank behind a buyer's card with the bank that accepts a merchant's payment. The company earns fees from payment activity, transaction processing and international transactions, and sells fraud prevention tools, payment software and consulting services to businesses. Banks and other partners issue Visa branded cards and use its technology to build their own payment products. Visa traces its roots to a Bank of America card program launched in 1958 and is headquartered in San Francisco.

Company size
10,001+
Company stage
N/A
Total funding
$24.2M
Headquarters
San Francisco, CA
Founded
1958

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