Lead Specialty Software Engineer

Wells Fargo & Company•Columbus, OH

1d•$159,000 - $254,000

About The Position

About this role: Wells Fargo is seeking a Specialty Software Engineer who will serve as a subject matter expert (SME) across Pega Knowledge Buddy & Coach, automation engineering, and process intelligence & discovery using Celonis and Skan.ai. This role combines specialty software development with advanced workflow engineering, process insights, and cross-functional coaching. In this role, you will: Lead complex initiatives on selected domains Ensure systems are monitored to increase operational efficiency and managed to mitigate risk Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies Resolve coding, testing and escalated platform issues of a technically challenging nature Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Mentor less experienced software engineers Collaborate and influence all levels of professionals including managers Lead team to achieve objectives Partner with production support and platform engineering teams effectively Lead complex initiatives across Pega Knowledge, automation frameworks, and process intelligence platforms. Design and implement automation solutions across Pega, APIs, event‑driven systems, and low‑code orchestration tools Develop, orchestrate, and optimize cross‑platform workflows between AI and automation tools (e.g., Skan.ai, EDIP, Pega Knowledge Buddy, Pega Knowledge Coach) to ensure seamless data flow and interoperability. Resolve escalated issues related to Pega, Celonis, Skan.ai, integrations, and automation workflows. Translate complex business needs into actionable technology requirements and refine the backlog with product owners. Collaborate with architects and principal engineers to design AI‑enabled workflows, automation patterns, and integration architectures. Support UAT planning and execution, validate end‑to-end functionality, and ensure smooth deployment and hypercare stabilization. Design, develop, test, and implement applications, system components, utilities, and analytics solutions. Serve as SME for Pega Knowledge—including taxonomy, content architecture, workflow optimization, and governance. Coach product teams, analysts, and junior engineers on Pega design patterns and platform capabilities. Mentor less‑experienced engineers and collaborate with leaders to uplift engineering maturity.

Requirements

5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Hands-on experience with Pega platforms.
Pega certifications (CSA, CSSA, BA).
Experience with Celonis and/or Skan.ai or similar task/process mining tools.
Experience with reusable automation components and enterprise integrations.
Analytical skills and familiarity with operational excellence.
Understanding of task mining & masking configurations.
Strong Process Design and Object Driven process modeling, including BPMN 2.0 knowledge
Proficiency in process analytics, workflow analysis, and productivity studies.
Ability to read and interpret system logs, user-activity capture, or desktop-analytics outputs.
Familiarity with LLM-driven insights and continuous observation frameworks.

Responsibilities

Lead complex initiatives on selected domains
Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
Resolve coding, testing and escalated platform issues of a technically challenging nature
Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
Mentor less experienced software engineers
Collaborate and influence all levels of professionals including managers
Lead team to achieve objectives
Partner with production support and platform engineering teams effectively
Lead complex initiatives across Pega Knowledge, automation frameworks, and process intelligence platforms.
Design and implement automation solutions across Pega, APIs, event‑driven systems, and low‑code orchestration tools
Develop, orchestrate, and optimize cross‑platform workflows between AI and automation tools (e.g., Skan.ai, EDIP, Pega Knowledge Buddy, Pega Knowledge Coach) to ensure seamless data flow and interoperability.
Resolve escalated issues related to Pega, Celonis, Skan.ai, integrations, and automation workflows.
Translate complex business needs into actionable technology requirements and refine the backlog with product owners.
Collaborate with architects and principal engineers to design AI‑enabled workflows, automation patterns, and integration architectures.
Support UAT planning and execution, validate end‑to-end functionality, and ensure smooth deployment and hypercare stabilization.
Design, develop, test, and implement applications, system components, utilities, and analytics solutions.
Serve as SME for Pega Knowledge—including taxonomy, content architecture, workflow optimization, and governance.
Coach product teams, analysts, and junior engineers on Pega design patterns and platform capabilities.
Mentor less‑experienced engineers and collaborate with leaders to uplift engineering maturity.