Software Engineer Level Python, React, GenAI Architecture

Visas Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the worlds most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants 15k Financial Institutions and billions of everyday people.   While working with us youll get to work on complex distributed systems and solve massive scale problems centered on new payment flows business and data solutions cyber security and B2C platforms.     

The Opportunity: 

We are seeking a GenAI Architect / Sr Consultant Software Engineer (I6.5) who is both a hands-on full-stack engineer and a team leader capable of designing developing and deploying GenAIpowered applications. You will manage and mentor an engineering team while delivering scalable AI systems that integrate with Visas product ecosystem developer platforms and internal operational tools.

This role blends architecture leadership full-stack development cloud engineering and GenAI frameworks.  As a Visa Lead Engineer you will be an integral part of a multi-functional development team inventing designing building and testing software products that reach a truly global customer base. While building components of powerful payment technology you will get to see your efforts shaping the digital future of monetary transactions.   

The Work itself: 

• Global Operations holds the responsibility of ensuring Visas diverse portfolio of commercial services are performing optimally meeting stringent availability targets and exceeding our clients expectations.  
• By architecting automation and GenAI into our operational DNA and deeply embedding AIOps into our strategic foundation Global Operations the engine room of production operations is well positioned to think big act quickly and innovate with intention. 
• Working with highly integrated high-throughput systems an equally high importance must be placed on robust observability intelligent event detection and incident management.  
• Global Operations sets the operational standards to support the business demands of today and the operational needs of tomorrow as technologies continue to evolve and adjust the way we work to support the business.  
• Through blame free post mortems intellectual curiosity and problem solving we turn reactive into proactive and create an environment that provides the support and mentorship for our team members to learn and grow. 

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 

Qualifications :

Basic Qualifications:

• 8 years of relevant work experience with a Bachelors Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD OR 11 years of relevant work experience.

Preferred Qualifications:

• 11-14 years of relevant work experience with a Bachelor Degree or 9 or more relevant years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 7 or more years of experience with a PhD
• Bachelors or Masters in Computer Science Engineering AI/ML or related field.
• 8 years of software engineering experience; 2 years leading or mentoring engineers.
• Worked with Agile SDLC process and SAFE agile environment in distributed teams

Hands-on experience with:

• LLM frameworks (LangGraph LangChain Haystack AWS Bedrock GenAI tools)
• Python backend development (FastAPI strongly preferred)
• Frontend development (React TypeScript)
• Vector databases (FAISS Pinecone Weaviate OpenSearch etc.)
• Agile Frameworks like SAFE GitHub / Bitbucket Jira ServiceNow Wiki CI/CD automation pipelines involving Jenkins
• Proven experience shipping products on AWS (Lambda ECS/EKS S3 API Gateway Bedrock SageMaker).
• Strong understanding of distributed systems microservices and API design.
• Experience implementing RAG at scale using internal or cloud-based vector stores.
• Experience with Databricks/Spark pipelines MLFlow or modern MLOps tools.
• Familiarity with event-driven messaging systems (Kafka Kinesis).
• Background in payments risk fraud analytics or regulated financial systems.
• Experience creating developer tooling or reusable frameworks for broader engineering teams.

The Skills You Bring:

• GenAI Architecture & Framework Development
• Architect and deliver GenAI-enabled applications leveraging: LangGraph LangChain Haystack or similar agent frameworks
• AWS GenAI services (Bedrock SageMaker Strands-style agent pipelines embeddings vector stores)
• RAG architectures custom LLM orchestration model evaluation LLMOps workflows
• Build reusable GenAI components SDKs pipelines and abstraction layers for engineering teams.

Define best practices for:

• Prompt engineering and evaluation
• LLM safety guardrails and content filtering
• Embedding generation and vector database integrations
• Model lifecycle governance and deployment optimization
• FullStack Engineering (Hands-on Development)
• Develop endtoend AI applications using: Backend: Python FastAPI Flask
• Frontend: React TypeScript UI component frameworks REST/GraphQL integration
• Build secure APIs microservices event-driven components and backend integrations for AI systems.
• Design intuitive responsive production-grade user interfaces for GenAI-powered tools.
• Data Pipelines & CI/CD Engineering
• Design and build data workflows supporting AI systems including:
• ETL/ELT pipelines
• Data preparation for LLM training/fine-tuning
• Embedding pipelines and retrieval data stores
• Implement CI/CD automation leveraging:
• Jenkins GitHub/Bitbucket Jira Wiki GitHub Actions CodePipeline Artifactory or similar systems
• Automated testing containerization deployment quality gates
• Infrastructure-as-code (CloudFormation Terraform)
• Ensure automated monitoring logging observability and rollback strategies.
• Governance Security & Responsible AI
• Apply Visas standards for:
• Model explainability
• Data governance and redaction
• Security boundaries access control encryption
• Responsible AI guidelines and compliance expectations
• Work with cybersecurity teams to ensure secure production deployments.

Soft Skills:

• Excellent communication ability to simplify complex AI concepts.
• Leadership presence with hands-on technical credibility.
• Ability to collaborate in a matrixed global organization.
• Passion for innovation and continuous exploration of emerging GenAI capabilities.
• We do not expect that any single candidate would fulfill all of these characteristics. For instance we have exciting team members who are really focused on building scalable systems but didnt work with payments technology or web applications before joining Visa

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time