Wells Fargo

Lead Software Automation Engineer, Gen AI

Wells Fargo

full-time

Posted on:

Location Type: Hybrid

Location: Charlotte • North Carolina • Texas • United States

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Job Level

Senior

Tech Stack

AngularAnsibleAWSAzureCloudGoogle Cloud PlatformGrafanaHadoopJavaJenkinsjQueryPrometheusPythonPyTorchReactSOAPSparkTensorflow

About the role

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor

Requirements

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Bachelor’s degree in computer science or equivalent
  • Proficiency in Python, Java Script, AJAX, jQuery, Angular/React
  • Knowledge of AI frameworks (like: LangChain, LangGraph)
  • Experience with ML libraries and frameworks like: TensorFlow, PyTorch. Hands on experience in building or training models, tuning hyperparameters.
  • Experience in Generative AI technologies like Retrieval-Augmented Generation (RAG) – end-to-end pipelines (Vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise.
  • Deep understanding of microservice based distributed architecture, cloud platforms (AWS, Azure & GCP), and infrastructure-as-code.
  • Strong background in Data Science and Analysis: Ability to process, clean and analyse data using statistical techniques to derive actionable insights.
  • Knowledge of data processing tools like Hadoop, Spark
  • Ability to deal in solving complex problems with ambiguous requirements, spot emerging tech trends and drive Proof of concepts or pilot solutions
  • Well versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices.
  • Experience in leveraging Rest/SOAP Web-APIs for integrations.
  • Experience in using enterprise-wide tooling for CICD: Harness, Jenkins.
  • Expertise in enterprise tools like: Ansible & observability tools (e.g., Prometheus, Grafana, ELK, Datadog), Incident Management tools like Service Now.
  • Self-motivated with genuine curiosity to stay ahead of the curve by engaging in continuous learning through courses, certifications, and research papers.
Benefits
  • This position is not eligible for visa sponsorship
  • Wells Fargo is an equal opportunity employer
  • Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
  • Wells Fargo maintains a drug free workplace.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaScriptAJAXjQueryAngularReactTensorFlowPyTorchGenerative AIData Science
Soft Skills
problem solvingleadershipcollaborationmentoringcommunicationcuriosityadaptabilitydecision makinginfluenceanalytical thinking