Lead AI Engineer in Technology for Wells Fargo’s Commercial and Corporate & Investment Banking Technology (CCIBT) group, responsible for accelerating AI initiatives, building GenAI tools, and guiding architectural decisions.
Locations (2)
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Compensation
$159,000.00 - $305,000.00
Responsibilities
Lead complex technology initiatives
Develop and maintain AI-enabled solutions
Design, build, test, deploy and document business solutions
Provide influence, thought leadership and mentorship
Collaborate with technical experts and senior leadership
Software Development Engineer in Test (SDET) – AI to design, develop, and maintain reliable automated testing solutions for software products and AI-powered applications.
Compensation
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Menlo Park, CA is $110k - $115k/year & benefits (see below).
Responsibilities
Lead QA Team activities, including test planning, execution, defect management, release validation, and quality reporting.
Design, develop, and maintain scalable automation frameworks for UI, API, integration, regression, and end-to-end testing.
Define automation standards, reusable components, coding guidelines, test metrics, and quality gates.
Perform CI/CD Integration by incorporating automated tests into pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
Develop and execute API Automation for RESTful and SOAP services.
Requirements
Degree in Computer Science, Engineering, Information Technology, or a related discipline.
Lead a full‑stack engineering team building customer‑facing web applications and backend services, driving architecture, cloud migration, AI‑assisted development, and team growth.
Locations (3)
Phoenix, Arizona, United States
Chicago, Illinois, United States
Scottsdale, Arizona, United States
Compensation
The base pay scale for this position in: Phoenix, AZ/ Chicago, IL in USD per year is: $124,000 - $186,000.
Responsibilities
Own technical direction of UI, backend, integrations and data layers
Set front‑end engineering standards with React and TypeScript
Guide design of secure, scalable backend services and APIs
Define integration approaches for enterprise identity and CRM platforms
Design, implement, test, and maintain real-time software models and system-level simulators for satellite systems.
Compensation
Summary Pay Range: $211,650 - $286,350
Responsibilities
Review, analyze, translate, and implement customer requirements for software-based simulation products
Design simulation product architecture and lead implementation framework development
Design, integrate, modify, test, and debug simulation models and scenarios
Execute full life-cycle development activities, including requirements definition and analysis, software architecture, design, coding, unit test, integration, documentation, and formal qualification.
Interface with a technically diverse user community and a multi-disciplined integrated product team (systems and software).
Requirements
Bachelor’s degree or higher
Nice to have: Master or Doctorate of Science degree
Lead complex, high‑stakes enterprise technical engagements as a Principal Forward Deployed Engineer, bridging software development with customer strategy and product feedback.
Compensation
Primary Location Base Pay Range: $206,400 USD - $309,600 USD
Responsibilities
Architect, deploy, configure, and debug AI agents and integrations in complex live enterprise tenant environments
Lead technical discovery sessions with senior leaders at customer organizations
Synthesize field telemetry and customer friction into product roadmap insights
Turn custom fixes into standardized, automated product capabilities
Own end‑to‑end engagements within 6‑month deployment cycles
Forward Deployed Engineer bridging software development with customer technical strategy to deploy, debug, and optimize Workday’s AI agents and developer platform solutions in live customer environments.
Compensation
Primary Location Base Pay Range: $148,000 USD - $222,000 USD
Responsibilities
Deploy, configure, and debug AI agents and integrations directly inside live enterprise tenant environments
Lead technical discovery sessions with key customer stakeholders
Capture field telemetry and customer friction points to influence product roadmap
Transform custom fixes into standardized, automated out-of-the-box product capabilities
Partner with Workday Services leads, AI Deployment Architects, and Account Teams to ensure seamless project delivery
Design, deploy and manage containerized environments using Kubernetes, GKE, AKS, or similar platform.
Compensation
$126,800 - $164,100 CAD
Responsibilities
Design, deploy and manage containerized environments using Kubernetes, GKE, AKS, or similar platform.
Document security configurations, procedures and guidelines for containerized environments, ensuring compliance with organizational standards and regulatory requirements.
Develop and maintain security tools, scripts, and automation workflows to enhance container security operations and incident response capabilities.
Utilize IaC (Infrastructure-as-Code) tools such as Terraform to automate infrastructure provisioning, ensure consistent configuration and prevent drift.
Work with microservice architecture, designing APIs, managing Ingress controllers, and implementing service meshes for improved scalability and security.
Requirements
Bachelor's degree in Computer Science or related field
Nice to have: Certified Kubernetes Administrator (CKA)
Nice to have: Certified Kubernetes Security Specialist (CKS)
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