Analyst, Generative AI (VCA)

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, driving tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments, and economics, VCA solves the most strategic problems for our clients. VCA is currently undergoing an AI transformation — embedding generative AI into how we work, how we deliver, and what we offer. This role is a hands-on contributor to that transformation.

Role Summary

We are looking for a solid GenAI builder — someone who doesn't just use AI tools but can develop with them: build agents, create custom skills, automate workflows, and integrate LLMs into real business processes. This is not a research role and not a "power user" role. We need someone who writes code, ships working solutions, and helps the team move faster in adopting GenAI across our consulting practice.

You will work hands-on alongside consultants and managers, building practical AI-powered tools and automations that make our delivery better, faster, and more scalable. You should be comfortable learning new technologies quickly and working in an environment where things change week to week.

The role will be based in Dubai.

Specific Responsibilities Include

• Build and deploy AI agents, skills, and automated workflows that support VCA consulting delivery.
• Integrate LLMs (Claude, GPT, Gemini) into internal tools and client-facing solutions via APIs and SDKs.
• Develop RAG pipelines and knowledge retrieval systems to make our content and data accessible through AI interfaces.
• Prototype new GenAI use cases quickly — test ideas, get feedback, iterate.
• Help maintain and improve existing AI tools and automations as models and frameworks evolve.
• Support consultants in adopting AI tools: build guides, run demos, pair with team members on specific tasks.
• Stay current with GenAI developments and bring relevant new capabilities to the team.
  
  

Qualifications

Basic Qualifications:

• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
  
  

Preferred Qualifications

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related STEM field.
• 2 - 3 years of experience working with code in a professional or project setting.
• Hands-on experience building with GenAI technologies — not just chatting with them, but writing code that calls APIs, chains prompts, uses tools, or builds agents.
• Solid Python skills. Familiarity with JavaScript or TypeScript is a plus.
• Working knowledge of at least some of: LLM APIs, prompt engineering, agent frameworks, vector databases, or RAG patterns.
• Demonstrated ability to learn fast and apply new tools productively with minimal hand-holding.
• High energy, curiosity, and willingness to work in a fast-paced environment where priorities shift.
• Good communication skills — ability to explain technical work to non-technical colleagues.
• Fluency in English is mandatory; Russian or Arabic is a plus.
• Consulting experience (internship or full-time) at a management consulting firm, bank, or fintech.
• Personal projects or GitHub portfolio showing GenAI work (agents, bots, tools, integrations).
• Experience with agentic frameworks (Claude Agent SDK, LangChain/LangGraph, CrewAI, or similar).
• Familiarity with cloud platforms (AWS, GCP, Azure) and basic DevOps (containers, CI/CD).
• Interest in payments, fintech, or financial services.
  
  

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.