Software Engineer, Sr. Consultant - Fullstack GenAI Enablement

The Opportunity

We are seeking a seasoned Fullstack Software Engineer with experience building GenAI-enabled applications. We're looking for someone who is both a hands-on full-stack engineer and a team leader capable of designing, developing, and deploying GenAI-powered applications. You will mentor an engineering team while delivering scalable AI systems that integrate with Visa's product ecosystem, developer platforms, and internal operational tools.

This role blends architecture, leadership, full-stack development, cloud engineering, and GenAI frameworks.

• Global Operations holds the responsibility of ensuring Visa's 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 important 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.

GenAI Architecture & Framework Development

• Lang Graph, Lang Chain, Haystack, or similar agent frameworks
• AWS GenAI services (Bedrock, Sage Maker,  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
• Full Stack Engineering (Hands‑on Development)

Develop end-to-end AI applications using:

• Backend:
  Python, FastAPI, Flask, Node.js
• Frontend:
  React + Type Script, UI component frameworks, REST/Graph
  
  QL 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, Git Hub/Bitbucket, Jira, Wiki, Git Hub Actions, Code Pipeline, Artifactory or similar systems
• Automated testing, containerization, deployment, quality gates
• Infrastructure-as-code (Cloud Formation, Terraform)
• Ensure automated monitoring, logging, observability, and rollback strategies.
• Governance, Security & Responsible AI

Apply Visa's 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.

Hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office.

Basic Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree; or 5+ years of experience with an Advanced Degree; or 2 years of work experience with a PhD; or 11+ years of relevant work experience.

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor's Degree; or 7 or more relevant years of experience with an Advanced Degree; or 3 or more years of experience with a PhD.
• Bachelor's or Master's 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 (Lang Graph, Lang Chain, Haystack, AWS Bedrock GenAI tools).
• Python backend development (FastAPI strongly preferred).
• Frontend development (React + Type Script).
• Vector databases (FAISS, Pinecone, Weaviate, Open Search, etc.).
• Agile frameworks like SAFE, Git Hub/Bitbucket, Jira, Service Now, Wiki, CI/CD automation pipelines involving Jenkins.
• Proven experience shipping products on AWS (Lambda, ECS/EKS, S3, API Gateway, Bedrock, Sage Maker).
• 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…