Lead Specialty Software Engineer-AI/ML at Wells Fargo
Chandler, Arizona, USA -
Full Time


Start Date

Immediate

Expiry Date

23 Oct, 25

Salary

287600.0

Posted On

24 Jul, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Google Cloud Platform, Infrastructure, Accountability, Database, Kubernetes, Agile, Multi Cultural Environment, Azure, Cloud, Adk, Scripting, Firewalls, Github, Security, Training, Ml, A2A, Communication Skills, Cloud Security, Code, Python, Ip, Microsoft Azure

Industry

Information Technology/IT

Description

PAY RANGE

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$120,400.00 - $287,600.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years working with Google Cloud Platform (GCP) and/or Microsoft Azure and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools
  • 2+ years of hands-on experience with IaC tools Terraform and GitHub
  • 1 + years of experience in AI & ML on GCP and/or Azure and at least three of the following key services: Vertex AI, Agentic AI, Document AI, AI Foundry, LLM

Desired Qualifications:

  • Exposure to Cloud governance and logging/monitoring tools
  • Knowledge and understanding of Cloud service offerings such as Compute
  • Cloud certification on GCP and/or Azure
  • Experience with Agile, CI/CD, DevOps concepts and Site Reliability Engineer (SRE) principles
  • Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP
  • Experience in scripting (Shell, Python)
  • Understanding of Azure cloud service offerings such as AI Foundry
  • Understanding of GCP cloud service offerings such as Agentspace, NotebookLM, Agent Engine
  • Understanding of Agentic AI frameworks such as ADK, A2A, MCP, LangChain, etc.
  • Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC
  • Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations
  • Intermediate understanding of Cloud computing concepts like landing zone and Blueprints
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to articulate technical solutions to both technical and business audiences
  • Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure
  • Delivery focus and willingness to work in a fast-paced, enterprise environmen
Responsibilities

Wells Fargo is seeking a Lead Specialty Software Engineer within the Application and Cloud Transformation Platform Engineering team to deliver services that provide AI & ML capabilities across multiple clouds.

In this role, you will:

  • Lead complex technology Cloud initiatives including those that are companywide with broad impact
  • Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as a Code (IaC)
  • Make decisions in developing standards and best practices for engineering and large-scale technology solutions
  • Design, optimize, and document the engineering aspects of the Cloud platform
  • Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive new initiatives
  • Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technical factors
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Build and enable Cloud infrastructure, automate the orchestration for Google Cloud Platforms (GCP) & Microsoft Azure for Wells Fargo Enterprise
  • Working in a globally distributed team to provide innovative and robust Cloud centric solutions
  • Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations
  • Gather and analyze data to diagnose the root cause of Cloud issues, recommend and implement solutions to resolve issues in timely manner

Required Qualifications:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years working with Google Cloud Platform (GCP) and/or Microsoft Azure and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools
  • 2+ years of hands-on experience with IaC tools Terraform and GitHub
  • 1 + years of experience in AI & ML on GCP and/or Azure and at least three of the following key services: Vertex AI, Agentic AI, Document AI, AI Foundry, LLMs

Desired Qualifications:

  • Exposure to Cloud governance and logging/monitoring tools
  • Knowledge and understanding of Cloud service offerings such as Compute
  • Cloud certification on GCP and/or Azure
  • Experience with Agile, CI/CD, DevOps concepts and Site Reliability Engineer (SRE) principles
  • Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP
  • Experience in scripting (Shell, Python)
  • Understanding of Azure cloud service offerings such as AI Foundry
  • Understanding of GCP cloud service offerings such as Agentspace, NotebookLM, Agent Engine
  • Understanding of Agentic AI frameworks such as ADK, A2A, MCP, LangChain, etc.
  • Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC
  • Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations
  • Intermediate understanding of Cloud computing concepts like landing zone and Blueprints
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to articulate technical solutions to both technical and business audiences
  • Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure
  • Delivery focus and willingness to work in a fast-paced, enterprise environment

Job Expectations:

  • Telecommuting is not an option for this position
  • This position offers a hybrid work schedule
  • Relocation assistance in not available for this position
  • This position is not eligible for visa sponsorship
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