Senior Consultant/ Software Engineer, Generative AI

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$162,500–$260,400 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $211k
$133k most similar roles pay here $274k

This role pays more than 68% of similar roles. Most pay $151,475–$223,812 — the shaded band above. At the midpoint, this role pays about $211k versus about $188k 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 103 open roles on FindRole.

Listed pay typically runs $146,200–$233,700 across 99 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Consultant/ Software Engineer, Generative AI

Full Stack Senior Consultant/ Software Engineer, Generative AI joins the Corporate Generative AI Technologies team to architect, build, and scale enterprise-grade generative AI and agentic applications. This role involves transforming complex business workflows into reliable automation solutions by developing production-ready systems featuring retrieval-augmented generation, tool orchestration, and multi-step execution. The engineer will design full-stack features using React for frontends and Python, Node.js, or Java for backends. Key technical components include working with PostgreSQL, Redis, and Pinecone vector databases, alongside LangGraph, FastAPI, and various LLM APIs from OpenAI and Anthropic. Responsibilities involve managing ETL pipelines, ensuring system observability via Prometheus and Grafana, and deploying cloud-native applications using Docker, Kubernetes, and CI/CD pipelines. The role solves critical engineering challenges such as decomposing workflows into reusable agents while maintaining security, scalability, and high-quality performance in a production environment.

What you'll do

  • Architect, build, and scale enterprise-grade Generative AI and agentic applications for production environments.
  • Design and implement retrieval-augmented generation (RAG) solutions including ingestion pipelines and vector database integration.
  • Develop backend services using Python, Node.js, or Java with a focus on secure APIs and asynchronous processing.
  • Build modern frontend experiences using React and component-based architecture to integrate with AI-enabled services.
  • Implement agentic workflow automation featuring intent routing, tool orchestration, and human-in-the-loop guardrails.
  • Manage LLM integration tasks such as prompt engineering, model routing, and evaluation of output quality.
  • Establish observability and operational excellence through end-to-end tracing, telemetry, and automated monitoring.
  • Lead technical strategy by defining reusable patterns, conducting design reviews, and mentoring junior engineers.

What we're looking for

  • Bachelor's degree with 8 years of experience, Advanced Degree with 5 years, PhD with 2 years, or 11+ years of relevant work experience.
  • At least 8 years of experience designing, building, and operating complex distributed software systems in production environments.
  • Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications.
  • Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling.
  • Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages.
  • Strong communication skills to translate complex technical concepts to business stakeholders.
  • Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications (preferred).
  • Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems (preferred).

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