AI/ML Engineer
BambooHRSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
FinTech, Payments, TechnologyIndustries
Requirements
- Versatile, curious, and energetic mindset for solving complex challenges on a global scale
- Ability to work as part of a multi-functional development team
- Expertise in designing, building, and shipping AI-powered tools
- Proficiency in converting AI concepts into concrete, working products with success metrics
- Experience with AI systems for code analysis, test optimization, and defect detection
- Knowledge of AI-powered log analysis for issues, patterns, and anomalies
- Skills in developing AI solutions for code quality, technical debt, and system performance insights
- Capability to build real-time deployment log analysis, validation, and rollback systems
- Experience implementing one-click deployment and independent release systems with metrics and alerts
- Proficiency in solving CI problems (build failures, flaky tests, merge conflicts) using AI agents
- Ability to integrate with CI/CD platforms (Jenkins, GitLab, GitHub Actions, Argo CD)
- Expertise in test automation frameworks, intelligent test analysis, and self-healing systems
- Skills in building audit trace systems for AI decision-making
- Experience with AI agent orchestration and modular AI architectures
- Ability to develop web-based dashboards for monitoring AI performance and KPIs
- Cross-functional collaboration skills with DevOps, QA, and Platform Engineering
- Proficiency in root cause analysis for automation failures using AI and data-driven methods
- Ability to gather requirements and collaborate with product owners
Responsibilities
- Design, build, and ship AI-powered tools that enhance the autonomous development lifecycle from code commit to production deployment
- Convert AI concepts into concrete, working products with clear success metrics and measurable impact
- Build AI systems that improve software quality through intelligent code analysis, test optimization, and automated defect detection
- Develop AI-powered log analysis tools that autonomously identify issues, patterns, and anomalies across build, test, and deployment phases
- Create AI-driven solutions that provide deep insights into code quality, technical debt, and system performance
- Build deployment log analysis capabilities that automatically detect and diagnose release issues in real-time
- Implement one-click deployment and release automation with AI-powered validation and rollback capabilities
- Develop independent release systems with integrated metrics, alerts, and intelligent decision-making
- Solve engineering CI problems using AI agents, including build failures, automation failures, flaky tests, and code merge conflicts
- Apply AI engineering mindset to break down complex automation visions into achievable, shippable milestones
- Integrate with CI/CD platforms (Jenkins, GitLab, GitHub Actions, Argo CD) to automate test recovery, mock service generation, and code validation
- Develop test automation frameworks and intelligent test analysis tools that evolve from basic classifiers to self-healing systems
- Build audit trace systems to track AI decision-making, automated actions, and developer interventions across the SDLC
- Create AI agent orchestration layers that manage autonomous workflows throughout the software development lifecycle
- Design modular AI architectures that allow incremental feature additions and version upgrades
- Develop web-based dashboards and visualization tools for monitoring AI agent performance, KPIs, and failure trends
- Work cross-functionally with DevOps, QA, and Platform Engineering to improve system reliability and developer velocity
- Conduct root cause analysis for automation failures and CI/CD regressions using data-driven and AI-based methods
- Collaborate with product owners to gather requirements and ensure AI tools deliver practical value
Skills
Software Engineering
GenAI
AI
Distributed Systems
Payment Technology
Code Deployment
Autonomous Development Lifecycle
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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