Level

Visa

Software Engineer - Sr. Consultant Level (10+ years, Big Data, Architecture, Design)

Visa is hiring a Software Engineer - Sr. Consultant Level (10+ years, Big Data, Architecture, Design) in Bengaluru, India. Level rates it ; you can apply on Visa.

Level's read on this job

  • On Level's scale, this AI consultant role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions LangChain, LangGraph and CrewAI among its tools and skills.
  • Level classes it as a senior role.
  • Visa has 836 other open roles on Level.
  • Posted in the last few days.

AI in this role

langchainlanggraphcrewaiautogensemantic-kernel
prompt-engineeringragai-agents

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

The Opportunity:

We are seeking an accomplished Staff Software Engineer to help shape the technical strategy and architecture of next-generation Data Engineering and Generative AI platforms within Visa's Payment Fraud Disruption engineering team.

This role combines deep hands-on engineering with technical leadership. You will influence architecture, guide engineering practices, mentor engineers, and lead the delivery of scalable data and AI platforms supporting fraud detection, investigation, risk intelligence, and operational excellence.

The ideal candidate brings strong expertise in distributed systems, data platforms, cloud-native architectures, and Generative AI, along with a track record of leading complex technical initiatives.


What You Will Do:

  • Lead the architecture, design, and development of scalable data platforms, APIs, and distributed services.
  • Design real-time and batch processing solutions supporting fraud intelligence, analytics, and machine learning workloads.
  • Drive production adoption of Generative AI, RAG, intelligent copilots, and agentic workflows.
  • Partner with Product, Data Science, Platform Engineering, and Security teams to define technical strategy and execution plans.
  • Improve scalability, reliability, security, observability, and operational excellence across critical platforms.
  • Mentor engineers, establish reusable patterns and engineering standards, and influence technical direction across teams.

 

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • Bachelor's degree in computer science, Engineering, Data Science, or a related technical field.
  • 8+ years of software engineering experience building enterprise-scale applications, platforms, or data-intensive systems.
  • Strong programming expertise in Java and/or Python.
  • Experience designing and building distributed systems, microservices, APIs, and large-scale data platforms.
  • Strong understanding of system design, data structures, algorithms, scalability, and performance optimization.
  • Demonstrated ability to lead complex technical initiatives, communicate architecture decisions, and influence engineering outcomes.

Preferred Qualifications:

Data Engineering:

  • Deep experience with technologies such as Apache Kafka, Apache Flink, Apache Spark, Hadoop/Hive, ClickHouse, PostgreSQL, or MySQL.
  • Experience designing scalable data pipelines, streaming architectures, analytics platforms, and data quality controls.

Generative AI:

  • Experience building and operating production-grade applications using Large Language Models (LLMs).
  • Hands-on experience with RAG, vector databases, prompt engineering, AI agents, tool calling, and orchestration patterns.
  • Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.

Cloud & Platform Engineering:

  • Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform.
  • Strong experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
  • Strong understanding of observability, monitoring, reliability engineering, and production operations.

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.

How we rate this

Software Engineer - Sr. Consultant Level (10+ years, Big Data, Architecture, Design) at Visa rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsLangChainLangGraphCrewAIAutoGenSemantic Kernel

Also common in AI consultant jobs at this level

Pay

Typical AI consultant job
$152k

This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. What's a project where you used LangChain hands-on?
  5. Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, AI agents, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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