Senior Data Engineer - Generative AI & Agentic Platforms

About the role

Visa is looking for a Senior Data Engineer to design, develop and operate scalable data and software platforms that enable intelligent digital experiences and AI-powered solutions. The engineer works with product managers, architects, software engineers, data scientists, cybersecurity partners and business stakeholders to deliver secure, reliable, production-ready capabilities. The role requires strong data and software engineering fundamentals and practical experience applying Generative AI and agentic technologies to enterprise use cases, including modern AI engineering fluency.

Key responsibilities

• Design, develop and maintain scalable data platforms, pipelines, APIs, integrations and backend services for Digital Marketing & Engagement solutions
• Build and operate secure, resilient, observable systems supporting real-time, streaming and batch processing
• Develop reusable frameworks, services and technical accelerators
• Build and integrate GenAI-powered applications, AI agents and intelligent workflows, including retrieval, tool calling, workflow orchestration, memory and human-in-the-loop patterns
• Integrate with enterprise systems, APIs and data sources using standards such as MCP
• Implement guardrails, governance controls and security mechanisms against prompt injection, unauthorized access, unsafe tool usage, hallucinations and policy violations
• Optimize token usage, model selection, latency, throughput and operational costs, and set up monitoring, observability and evaluation frameworks
• Leverage AI-assisted development tools and coding agents throughout the SDLC, validate AI-generated artifacts and stay current with emerging technologies

Required profile

• 2+ years of relevant experience with a Bachelor's degree, or 5+ years
• Preferred: 3+ years with a Bachelor's degree, or 2+ years with an advanced degree (Master's, MBA, JD, MD)
• Strong programming skills in Java, Python or similar languages
• Experience building scalable data platforms, APIs, microservices and cloud-native applications
• Experience with distributed systems, event-driven architectures and streaming technologies such as Kafka
• Experience with CI/CD, automated testing, observability and production support
• Experience building or integrating Generative AI and LLM-powered applications, including RAG, vector search, embeddings and context management
• Experience with AI guardrails, governance, security controls and responsible AI practices
• Experience with AI-assisted development platforms and coding agents such as GitHub Copilot, Copilot Agents, Claude Code, Cursor or Windsurf

Required skills

• Java, Python or similar languages
• Kafka
• Generative AI, LLMs, RAG, vector search, embeddings
• LangChain, LangGraph, Semantic Kernel, Spring AI, CrewAI, AutoGen (preferred)
• Model Context Protocol (MCP), Agent-to-Agent communication (preferred)
• LLMOps, AgentOps, vector databases, knowledge graphs (preferred)
• Azure, AWS or Google Cloud (preferred)