Wells Fargo

Lead Software Engineer - Gen AI, LLM, Agentic AI

Wells Fargo
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2 hours ago
Hyderābād, IndiaStaff+

Responsibilities

  • Lead complex, companywide technology initiatives and drive new engineering and AI initiatives.
  • Design, code, test, debug, document, and review complex large-scale technology solutions.
  • Develop engineering standards, companywide best practices, governance models, and reference architectures for GenAI platforms.
  • Build scalable enterprise AI/GenAI platforms across multiple use cases using RAG, agentic AI, multi-agent systems, and AI orchestration.
  • Lead or participate in solution design, deployment, scalability, security, operational excellence, and model evaluation.
  • Collaborate with technical experts, senior technology teams, and external industry groups to resolve complex technical issues.
  • Lead projects and teams or serve as a peer mentor.

Requirements

  • 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • Deep expertise in Generative AI, foundation models, RAG, agentic AI, and multi-agent systems.
  • Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent GenAI frameworks.
  • Strong knowledge of prompt engineering, context management, fine-tuning, vector databases, and AI orchestration.
  • Experience with LLMOps/MLOps, AI observability, model evaluation, and benchmarking.
  • Experience building scalable enterprise AI/GenAI platforms and defining GenAI standards, governance models, and reference architectures.
  • Expertise in Responsible AI, AI governance, risk, compliance, guardrails, model validation, AI red teaming, adversarial testing, prompt-injection defenses, and AI security.
  • Knowledge of OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.
  • Strong cloud-native architecture experience across Azure, AWS, or Google Cloud.
  • Experience with Kubernetes, containers, microservices, APIs, CI/CD, Infrastructure as Code, and platform engineering.
  • Demonstrated technical leadership in solution design, deployment, scalability, security, and operational excellence.
  • Open-source contributions, AI research, patents, or industry thought leadership are desirable.

Tech Stack

AWSAzureGoogle CloudKubernetes
Wells Fargo

About Wells Fargo

10,000+ employees

Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.

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