Visa

2 months ago

Software Engineer, Sr. Consultant - Fullstack GenAI Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build and deliver GenAI-enabled full-stack applications while mentoring engineering teammates and leading the design, development, and deployment of scalable AI systems. Work on reusable GenAI components and best practices for prompt evaluation, LLM safety, and RAG at scale. Develop backend and frontend features, secure APIs and microservices, and implement CI/CD, observability, and responsible AI practices within Visa’s Global Operations environment.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Mentor an engineering team while designing, developing, and deploying GenAI-powered applications.
•Architect and build GenAI-enabled components, SDKs, pipelines, and abstraction layers for engineering teams.
•Develop end-to-end AI applications, including backend services and production-grade frontend user interfaces.
•Implement CI/CD automation, infrastructure-as-code, and automated monitoring/logging with robust rollback and quality gates.
•Apply responsible AI practices including LLM safety/guardrails, model explainability, data governance/redaction, and security boundaries for production deployments.

Travel: Low travel

Pay and Benefits

Salary: USD 152,200 - 243,700 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s degree (or 5+ with an advanced degree / 2+ with a PhD), or 11+ years total experience.
•8+ years of software engineering experience, including 2+ years leading or mentoring engineers.
•Hands-on experience building GenAI-enabled applications using LLM frameworks (e.g., LangGraph, LangChain, Haystack) and AWS GenAI services (e.g., Bedrock, SageMaker).
•Experience developing full-stack systems (Python backend with FastAPI strongly preferred; React + TypeScript frontend) and building secure APIs, microservices, and event-driven components.
•Experience with GenAI data/ML workflows and engineering practices such as RAG at scale, vector databases, and CI/CD automation with tools like Jenkins and GitHub/Bitbucket.

Experience:8+ yearsPaymentsGenAIAIOpsDistributed systemsRegulated financial systems

Education:Bachelor's in Computer Science, Engineering, AI/ML or related field

Skills:CommunicationLeadershipCollaborationProblem-solvingInnovation

Tech Stack:LangGraphLangChainHaystackAWS BedrockSageMakerLLMOpsPrompt engineeringRAGPythonFastAPIFlaskNode.jsReactTypeScriptRESTGraphQLMicroservicesETLELTCI/CD

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Visa

2 months ago

Software Engineer, Sr. Consultant - Fullstack GenAI Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Mentor an engineering team while designing, developing, and deploying GenAI-powered applications.
•Architect and build GenAI-enabled components, SDKs, pipelines, and abstraction layers for engineering teams.
•Develop end-to-end AI applications, including backend services and production-grade frontend user interfaces.
•Implement CI/CD automation, infrastructure-as-code, and automated monitoring/logging with robust rollback and quality gates.
•Apply responsible AI practices including LLM safety/guardrails, model explainability, data governance/redaction, and security boundaries for production deployments.

Travel: Low travel

Pay and Benefits

Salary: USD 152,200 - 243,700 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•8+ years of relevant work experience with a Bachelor’s degree (or 5+ with an advanced degree / 2+ with a PhD), or 11+ years total experience.
•8+ years of software engineering experience, including 2+ years leading or mentoring engineers.
•Hands-on experience building GenAI-enabled applications using LLM frameworks (e.g., LangGraph, LangChain, Haystack) and AWS GenAI services (e.g., Bedrock, SageMaker).
•Experience developing full-stack systems (Python backend with FastAPI strongly preferred; React + TypeScript frontend) and building secure APIs, microservices, and event-driven components.
•Experience with GenAI data/ML workflows and engineering practices such as RAG at scale, vector databases, and CI/CD automation with tools like Jenkins and GitHub/Bitbucket.

Experience:8+ yearsPaymentsGenAIAIOpsDistributed systemsRegulated financial systems

Education:Bachelor's in Computer Science, Engineering, AI/ML or related field

Skills:CommunicationLeadershipCollaborationProblem-solvingInnovation

Tech Stack:LangGraphLangChainHaystackAWS BedrockSageMakerLLMOpsPrompt engineeringRAGPythonFastAPIFlaskNode.jsReactTypeScriptRESTGraphQLMicroservicesETLELTCI/CD

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor