AI Automation Engineer

Job Description

Wells Fargo is seeking a highly skilled Automation Engineer to design build and evolve intelligent API-driven automation solutions that eliminate manual toil accelerate

delivery and improve operational resilience across enterprise platforms.

This role requires deep expertise in scripting (preferably Python) strong experience working with REST/JSON APIs and hands-on ability to leverage Agentic AI frameworks by

orchestrating AI agents through API endpoints to drive autonomous workflows decision-making and self-healing automation.

The ideal candidate thrives in complex environments partners closely with engineering SRE and platform teams and brings a forward-looking mindset to AI-augmented

automation while maintaining enterprise-grade security reliability and governance.

Required Qualifications

Strong experience in Python and Shell scripting for automation orchestration and systems integration

Hands-on experience working with REST APIs JSON payloads authentication mechanisms and API lifecycle management

Solid understanding of automation frameworks CI/CD pipelines and DevOps practices

Experience integrating automation with infrastructure middleware or application platforms

Strong problem-solving skills with the ability to analyze manual processes and convert them into scalable automation solutions

Ability to work effectively in a large complex enterprise environment

Key Responsibilities

Design develop and maintain end-to-end automation solutions using Python and other scripting languages to eliminate manual and repetitive operational tasks.

Build API-first automation by integrating internal and external systems using RESTful services webhooks and event-driven patterns

Implement Agentic AI workflows by orchestrating AI agents via API endpoints to

perform autonomous tasks such as remediation validation orchestration and decision support

Develop automation that integrates with CI/CD pipelines infrastructure platforms

middleware and application ecosystems Collaborate with Site Reliability Engineering (SRE) Platform Engineering and Application teams to automate reliability resiliency and operational insights

Create reusable automation frameworks libraries and services that scale across portfolios and lines of business

Ensure automation solutions follow enterprise standards for security auditability resiliency and compliance

Document automation designs AI agent behaviors APIs and operational runbooks to support long-term maintainability

Continuously evaluate emerging automation and AI technologies and introduce innovations that improve efficiency and developer experience

Preferred Qualifications

Experience building or consuming Agentic AI systems including coordinating multiple AI agents via API endpoints

Familiarity with LLM-based services AI orchestration patterns or AI-assisted decision workflows

Experience with containerization and platforms such as Docker Kubernetes or OpenShift

Exposure to event-driven architectures async workflows or job-based automation models

Experience in financial services or other highly regulated enterprise environments

Strong documentation and communication skills with the ability to explain complex automation and AI concepts to diverse stakeholders