Software Engineer - Sr. Consultant Level - Python

Visa Consolidated Support Services India; Bengaluru; Hybrid; INR 2,300,000 - 3,500,000; Full time

Job summary

Visa Consolidated Support Services India is seeking a GenAI Architect / Sr Consultant to lead the design and development of GenAI-powered applications. The role involves managing an engineering team that integrates AI systems within Visa's ecosystem. Candidates must have significant software engineering experience, especially in leadership roles, and expertise in technologies like Python, React, and AWS. This position offers a chance to impact the future of payment technology through innovative solutions.

Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree.
• Experience creating developer tooling or reusable frameworks for broader engineering teams.
• Proven experience shipping products on AWS.

Responsibilities

• Design, develop, and deploy GenAI-powered applications.
• Manage and mentor an engineering team.
• Architect automation and GenAI into operational processes.

Skills

GenAI Architecture & Framework Development

Full-Stack Engineering

Data Pipelines & CI/CD Engineering

Governance, Security & Responsible AI

Excellent communication

Education

Bachelor's or Master's Degree in Computer Science, Engineering, AI/ML

Tools

AWS (Lambda, ECS/EKS, S3, API Gateway)

Python (FastAPI preferred)

React + TypeScript

GitHub / Bitbucket

Jenkins

Job description

We are seeking a GenAI Architect / Sr Consultant, Software Engineer (L6.5) who is both a hands‑on full‑stack engineer and a team leader capable of designing, developing, and deploying GenAI‑powered applications. You will manage and 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. 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 Visa’s diverse portfolioof 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.

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:
• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 3 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
• Full‑Stack Engineering (Hands‑on Development)
• Develop end‑to‑end AI applications using:
• Backend: Python, FastAPI, Flask, Node.js
• 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 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.

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.