AI Innovation Leader

The Reliability Engineering Automation team takes pride in maintaining Visa systems' uptime and security, catering to the business's 24/7 needs. The team uses AI to aggregate observational data from monitoring systems, job logs, syslog, ticketing, incident, and event management system data. This produces a virtuous circle of continuous insights yielding continuous improvements and fixes.

The Senior Software Engineer is a highly motivated individual contributor based in Singapore, responsible for designing and developing effective solutions according to industry standards and best web development practices. As part of the team, you will own key modules, perform code and design AI architectural reviews, suggest best practices, and implement design and development standards.

This role involves owning key modules, leading implementations on key modules, mentoring junior team members, having passion in developing and supporting next-generation software architectures, inspiring AI innovation within the team, and developing scalable real-time low-latency Artificial Intelligence processing solutions in an agile delivery method.

We are looking for someone who can lead and guide the team in AI design, POC, code implementation of new algorithms to solve complex problems, develop AIOPS solutions using available tools and technologies, and assist the global team in problem resolution by hands-on participation.

This is a hybrid position with confirmed days in office determined by your Hiring Manager.

Responsibilities:

• Develop and support growth of next-generation software architectures and inspire AI innovation within the team
• Develop scalable real-time low-latency Artificial Intelligence processing solutions in an agile delivery method
• Lead and guide the team in AI design, POC, code implementation of new algorithms to solve complex problems
• Develop AIOPS solutions using available tools and technologies and assist the global team in problem resolution by hands-on participation
• Engage technical workshops with cross-vertical Technology partners for cross-vertical integration in software development

Qualifications:

• Bachelor's degree or equivalent experience; 2+ years of relevant work experience OR 5+ years of relevant work experience
• 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree in Computer Science, Computer Engineering, or Information Technology disciplines with strong fundamentals in software engineering
• At least 2 to 5 years of working experience in the IT industry with advanced web development experience with Machine Learning and Artificial Intelligence in IT operations using data analytics theory and application
• Hands-on experience in development of applications using AIOPS technologies like generative AI, chatops AI, NLP models, LLM Models , advanced RAG, AI agents, agent orchestration, Model quantization, Langchain, langgraph, image screening, web scrapping, python AI tools etc.
• Solid knowledge of at least one or more programming language: Golang, Java, C#, python or NodeJS, Angular, html
• Explore, understand, and implement most recent Machine Learning algorithms and approaches for supervised and unsupervised machine learning and deep learning
• Handle and process multi-terabyte data sets in scale-up and scale-out environments
• Engage in full stack development from REST service to persistence adopting latest state-of-the-art technologies
• Ability to design, develop and debug cloud applications. Ideally have some experience developing application on modern cloud platform
• Create excellence both in terms of results, quality and system scalability through continuous evaluation, analysis, and refinement of the application implementation
• Use AI and big data to identify opportunities and work with partner teams to improve systems availability and automate/optimize operations
• Develop business cases for automation and partner with the relevant teams to implement them
• Software engineering principles (preferably Agile/Scrum) and their application to the creation of self-healing infrastructure and applications
• Good understanding of micro service architecture, Git and how to configure and deploy complex containerized applications
• Good understanding of any one or more security scanning tools like Checkmarx, Clair, SonarQube, Blackduck, Appcheck
• Good to have at least one or more Cloud Platforms (Azure, AWS, GCP) is a strong plus
• Good to have enterprise-level client-server web application development in Java/J2EE, C# and OOP
• Good understanding of SSDLC, Agile methodologies. Agile development experience in a SCRUM environment is a strong plus
• Excellent articulation, communication, interpersonal and collaboration skills are required
• Excellent time management, organization and planning skills are essential
• At least 2 years of working experience with defining system architecture and design patterns
• At least 2 years of designing systems for greenfield engineering projects from ground up
• Knowledge of content management concepts and systems will be advantageous
• Analytical skills to understand business requirements and to translate into technical specifications
• Problem solver with excellent skills in troubleshooting
• Ability to set priorities in a multi-tasking environment
• Ability to negotiate with both Technology and Business counterparts in terms of delivery scope and timelines that aligns with capacity of the delivery team
• PASSION TO LEARN AND PICK UP NEW TECHNOLOGIES AS NEEDS EVOLVES