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Wells Fargo
Wells Fargo
H1B Visa SponsorBankingInsuranceLogistics
Wells Fargo is a multinational financial services company operating across banking and related financial products. Its hiring landscape includes opportunities for early-career professionals, experienced specialists, and leaders, with an emphasis on collaboration, innovation, and an inclusive workplace culture. The company also highlights development programs designed to support career progression across its broad workforce.
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Lead Software Engineer, Agentic AI — Wells Fargo (Hybrid)

Lead Wells Fargo’s development of full-stack applications and agentic AI solutions supporting credit-risk data migration. Apply Java, Python, cloud, and enterprise automation expertise across modernization initiatives.

USUnited StatesAZArizonaNCNorth CarolinaHybridFull-timeSeniorEnglish RequiredFull-stack EngineerSoftware Engineer
AngularAWSAzureCloudDistributed SystemsDockerJavaKubernetesMicroservicesPythonReactSDLCSpringSpring BootSQL

Description

  • Build, test, deploy, and support enterprise-scale applications and AI-enabled solutions
  • Create and maintain full-stack applications with Angular or React, Spring Boot, SQL Server, and related technologies
  • Design and deliver agentic AI solutions using LangGraph or comparable frameworks, LLMs, retrieval-augmented generation, prompt engineering, and agent orchestration
  • Develop Python services, APIs, automation tools, and data-processing pipelines
  • Work with product owners, architects, business partners, and engineering teams to shape and implement technical solutions
  • Contribute to architecture conversations, technical design reviews, and peer code reviews
  • Investigate and resolve complex issues spanning applications, databases, integrations, and AI components
  • Support CI/CD, DevOps, testing, security, and operational excellence efforts
  • Coach junior and mid-level engineers and provide technical direction
  • Track emerging developments in AI, software engineering, and application modernization
  • Act as a senior technical contributor for strategic software engineering and AI programs
  • Deliver reliable solutions through disciplined engineering practices and strong technical standards
  • Work with business and technology partners to uncover opportunities for automation, modernization, and AI adoption
  • Engage stakeholders across technical and non-technical levels and help shape engineering decisions
  • Encourage innovation, accountability, continuous improvement, and engineering excellence

Requirements

  • At least five years of specialty software engineering experience, or equivalent experience gained through work, training, military service, or education
  • At least five years of experience building Java applications with Spring Boot and microservices architectures
  • At least five years of experience developing Python-based solutions
  • At least six months of experience creating agentic AI solutions with LangGraph or a similar agent framework
  • Hands-on experience with SQL Server, including data modeling, performance tuning, and query optimization
  • Experience building enterprise applications with Angular or React
  • Experience with LLMs, prompt engineering, RAG, vector databases, and AI application development
  • Experience designing and building RESTful APIs and distributed systems
  • Experience using Git, CI/CD pipelines, automated tests, and modern SDLC practices
  • Experience with Azure, AWS, or another cloud platform
  • Experience applying AI governance, observability, evaluation frameworks, and responsible AI practices
  • Experience creating AI-powered productivity, automation, or modernization solutions
  • Experience with semantic models, vector search, knowledge graphs, or metadata-driven architectures
  • Experience with container technologies including Docker and Kubernetes
  • Experience working in Agile teams with Jira and modern DevOps practices
  • Proven ability to mentor engineers and provide technical leadership within a team
  • Strong written and verbal communication skills with technical and non-technical audiences
  • Strong analytical, troubleshooting, and problem-solving capabilities
  • Demonstrated enthusiasm for agentic AI, software engineering innovation, and ongoing learning
  • Ability to work onsite in one of the listed locations in accordance with the company’s hybrid policy

Benefits

  • Equal opportunity employer
  • Disability accommodations available during recruiting and interviews
  • Drug-free workplace

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