V

Visa

Runs a global network for digital payments

Director – Technology Leader with hands-on exp in Platform / Application Development - GenAI

AI Application EngineeringPosted on Nov 6
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • 12–14 years of software engineering experience, including significant leadership in AI/ML and Generative AI initiatives.
  • Expertise in large language models, embeddings, retrieval-augmented generation systems, model fine-tuning, and Generative AI frameworks such as LangChain, LlamaIndex, and Hugging Face.
  • Strong proficiency in Python and enterprise languages such as Java, Scala, or Go.
  • Experience building scalable cloud-native systems using AWS, Azure, or GCP, and microservices architectures.
  • Hands-on experience with Kubernetes, Docker, CI/CD pipelines, and observability tools.
  • Deep understanding of MLOps practices, model lifecycle management, and production AI monitoring.
  • Proven ability to deliver large-scale analytical applications and distributed data workflows.

Responsibilities

  • Lead the design, development, and deployment of Generative AI solutions, including large language model integration, prompt engineering, retrieval-augmented generation systems, and domain-specific model customization.
  • Evaluate emerging AI capabilities and prototype innovative solutions to accelerate business transformation.
  • Drive experimentation frameworks that validate model performance, user experience impact, and production feasibility.
  • Architect cloud-native applications capable of handling large-scale, high-availability workloads.
  • Oversee performance optimization, distributed processing, caching strategies, and operational monitoring.
  • Ensure secure, compliant, and resilient engineering practices aligned with enterprise standards.
  • Design and evolve microservices architectures using domain-driven design, event-driven patterns, and API-first development.
  • Implement robust inter-service communication using REST, gRPC, and messaging, as well as reliability patterns such as circuit breakers and rate limiting.
  • Guide engineers on scaling, testing, and maintaining distributed services.
  • Mentor engineering and data science teams in modern AI, Generative AI adoption, and architectural excellence.
  • Translate business goals into actionable engineering roadmaps and AI solution blueprints.
  • Define coding standards, architecture guidelines, model governance, and delivery best practices.
  • Collaborate with product, security, and platform teams to align AI solutions with enterprise strategy.

About the Company

Visa

Runs a global network for digital payments

Visa runs a global payment network that connects banks, merchants and consumers so card purchases and money transfers move between financial institutions. Its VisaNet system handles authorization, clearing and settlement, linking the bank behind a buyer's card with the bank that accepts a merchant's payment. The company earns fees from payment activity, transaction processing and international transactions, and sells fraud prevention tools, payment software and consulting services to businesses. Banks and other partners issue Visa branded cards and use its technology to build their own payment products. Visa traces its roots to a Bank of America card program launched in 1958 and is headquartered in San Francisco.

Company size
10,001+
Company stage
N/A
Total funding
$24.2M
Headquarters
San Francisco, CA
Founded
1958

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