3 days ago
Base Salary
$163k - $260k/yr
Responsibilities
- Design, build, and scale secure, reliable, maintainable enterprise GenAI and agentic applications.
- Own the architecture and delivery of major GenAI subsystems, lead design reviews, mentor I4/I5 engineers, and define reusable production standards.
- Build full-stack applications with robust APIs, workflow orchestration, secure data flows, observability, and operational readiness.
- Develop React frontend experiences and scalable backend services using Python, Node.js, and/or Java.
- Implement agent orchestration, tool execution, API integrations, data retrieval, workflow state management, human approval flows, guardrails, auditability, and enterprise integrations.
- Build LLM-powered capabilities using OpenAI and Anthropic SDKs, including prompt orchestration, tool calling, structured outputs, streaming, model routing, and evaluation.
- Design RAG solutions with ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval evaluation.
- Deploy cloud-native applications using containers, CI/CD, automated testing, monitoring, and operational automation.
- Implement tracing, workflow telemetry, model evaluation, and monitoring for secure and reliable AI systems.
- Translate ambiguous requirements into proofs of concept and evolve them into production-quality solutions with cross-functional partners.
Requirements
- At least 8 years of relevant work experience with a Bachelor’s degree, 5 years with an advanced degree, 2 years with a PhD, or 11 years of relevant work experience without the stated degree requirement.
- At least 8 years of experience designing, building, and operating complex distributed software systems in production.
- Strong experience with software architecture, distributed systems, API design, cloud-native platforms, data-intensive applications, cloud platforms, containers, CI/CD, and observability.
- Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages.
- Experience driving technical strategy and influencing architectural direction across organizations.
- Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity.
- Strong communication skills for translating complex technical concepts to business stakeholders.
- Preferred experience includes AI-enabled, data-driven, workflow automation, search, conversational, or machine-learning-powered applications.
- Preferred familiarity with GenAI, LLMs, RAG architectures, agentic systems, agent frameworks, retrieval architectures, MCP, A2A, memory systems, and enterprise AI deployment patterns.
- Preferred ability to lead cross-functional AI initiatives from proof of concept through stakeholder alignment and enterprise rollout.
Benefits
- Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program eligibility.
- US salary range of $162,500.00 to $260,400.00 per year, with potential bonus and equity eligibility; compensation figures are excluded from benefit details.
- At least three days per week in the office, with exact expectations confirmed by the Hiring Manager.
- The role requires 5–10% travel.
- Work hours vary according to department needs.
Tech Stack
AWSAzureCSSDockerFastAPIGitGrafanaHTMLJavaJavaScriptKubernetesNode.jsPostgreSQLPrometheusPythonReactRedis
Categories
About Visa
Visa builds and operates a global digital payments network that connects consumers, merchants, financial institutions, and governments. It earns fees for processing card transactions and offering risk, data, and value‑added services through VisaNet and products like tokenization and tap‑to‑pay. Founded in 1958 and headquartered in Foster City, California, Visa is a public company (NYSE: V) serving clients in more than 200 countries and territories.