Senior Consultant Software Engineer

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$162,500–$260,400 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $211k
$103k $277k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $149,500–$197,500 — the blue band above. At the midpoint, this role pays about $211k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 99 open roles on FindRole.

Listed pay typically runs $154,200–$247,050 across 94 roles with salary data.

Most-posted roles

View all roles at Visa

At a glance

TL;DR · Senior Consultant Software Engineer

The Software Engineer, Sr. Consultant Level joins the AI-First Innovation team to lead the execution of next-generation AI-powered solutions. This role involves translating complex business challenges into engineering roadmaps, guiding teams through proof-of-concepts, and stewarding development from ideation to scaled deployment. You will build intelligent, resilient systems for payment flows, fraud intelligence, and real-time commerce platforms. Key responsibilities include establishing standards for responsible AI, including data quality, explainability, and observability. The role requires proficiency in Python, Java, C++, NodeJS, and ReactJS/Angular, alongside experience with Kubernetes, LLM APIs, vector databases, and real-time data systems. You will solve technical problems involving distributed systems, MLOps, and Generative AI architectures, including RAG and Multi-Agentic systems, to ensure scalable, privacy-preserving, and secure global payment services.

What you'll do

  • Translate complex business challenges into engineering roadmaps, user requirements, and technical specifications.
  • Lead the experimentation pipeline to evaluate new technologies, model types, and LLM-based features.
  • Guide teams through proof-of-concepts, pilots, and scaled launches of AI-native capabilities.
  • Recommend architectures, model integration patterns, and scalable design strategies for global platforms.
  • Establish standards for responsible AI, including data quality, model testing, explainability, and governance.
  • Analyze performance patterns and model behavior to implement systemic improvements and long-term enhancements.
  • Mentor teams and develop best practices to elevate the organization's AI maturity and experimentation culture.

What we're looking for

  • Must have 8+ years of relevant work experience with a Bachelor’s Degree, 5+ years with an Advanced Degree, 2+ years with a PhD, or 11+ years of experience.
  • Must have experience driving ML, data, cloud, or highly-distributed system products.
  • Must have familiarity with Python, Java, C++, containers, Kubernetes, LLM APIs, vector databases, and real-time data systems.
  • Must have experience shipping modern products with a focus on scalability, reliability, and measurable customer value.
  • Must have experience working with Product, Engineering, Security, UX, DevOps, and Agile/Scrum teams.
  • Must be able to work in an office setting at least 3 days per week.
  • Must be able to travel 5-10% of the time.
  • Expert-level skills in Python and/or NodeJS with skills in Java or C/C++ is a bonus (preferred).

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