Imagine stepping into a role where your engineering leadership directly shapes how a Fortune 500 enterprise harnesses AI, automation, and workflow intelligence to operate at massive scale. Wells Fargo is seeking a Lead Specialty Software Engineer to help drive this transformation—an influential position ideal for someone who blends deep technical expertise with visionary problem‑solving.
In this role, you will serve as a trusted subject matter expert across enterprise automation engineering, AI‑assisted knowledge and coaching capabilities, and next‑generation process intelligence platforms such as Celonis and Skan.ai. You’ll design and engineer the automation patterns and workflow capabilities that remove friction, modernize critical processes, and elevate the operational performance of teams across the organization.
Operating at the intersection of software engineering, workflow design, automation strategy, and AI‑powered insight generation, you will architect solutions that tackle complex enterprise challenges with measurable impact. You’ll collaborate with leaders across product, architecture, engineering, and operations—driving innovation, orchestrating intelligent workflows, and translating multifaceted business needs into high‑value technology outcomes.
If you thrive on building scalable automation, modernizing legacy processes, and applying advanced technologies to achieve enterprise‑wide efficiency gains, this role offers the visibility, scope, and influence to leave a lasting imprint on how the company operates.
In this role, you will:
Provide technical leadership for complex, multi‑domain initiatives, ensuring high‑quality engineering outcomes across supported platforms.
Oversee system monitoring and operational oversight to enhance efficiency, minimize disruptions, and proactively mitigate risk.
Lead the end‑to‑end design, development, testing, and deployment of applications, system components, tools, utilities, models, simulations, and analytical solutions that support sophisticated business functions.
Address and resolve advanced coding, testing, and platform‑level issues, including escalations requiring deep technical expertise.
Guide engineering teams to meet compliance, governance, and risk‑management expectations, partnering with key stakeholders to execute core risk initiatives.
Mentor junior and mid‑level engineers, providing technical coaching and helping strengthen engineering capabilities across the team.
Collaborate with professionals at all organizational levels, including management, to drive alignment and influence technical decision‑making.
Lead teams toward established objectives, ensuring delivery is consistent, timely, and aligned to strategic goals.
Partner closely with production support and platform engineering teams to ensure stability, performance, and reliability of supported systems.
Direct technical initiatives across Pega Knowledge, enterprise automation frameworks, and process‑intelligence ecosystems.
Architect and implement automation solutions leveraging Pega, APIs, event‑driven architectures, and low‑code orchestration platforms.
Build, orchestrate, and optimize workflow integrations across AI and automation technologies (e.g., Skan.ai and Pega) to enable seamless data exchange and system interoperability.
Troubleshoot and resolve escalated issues associated with Pega and Skan.ai, system integrations, and automation workflows.
Convert complex business needs into clear technical requirements and partner with product owners to refine and prioritize the backlog.
Work with architects and principal engineers to design AI‑enabled workflows, scalable automation patterns, and integrated architectural solutions.
Support UAT planning and execution, validate end‑to‑end solution functionality, and ensure successful deployment and hypercare transition.
Design, build, test, and deploy applications, utilities, system components, and data‑driven analytical tools.
Serve as a subject matter expert for process intelligence, advising on taxonomy, content structure, workflow optimization, and governance best practices.
Provide coaching to product teams, business analysts, and junior engineers on Pega design patterns, platform features, and engineering best practices.
Mentor less‑experienced engineers and collaborate with leadership to enhance engineering maturity and delivery excellence across the organization.
Required Qualifications
5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
3+ years of analyzing process mining insights that translate into technology enabled process improvements.
Desired Qualifications
Practical experience working with Pega platforms in a hands‑on engineering or configuration capacity.
Pega certifications such as CSA, CSSA, or BA.
Experience using Celonis, Skan.ai, Pega or comparable task/process‑mining technologies.
Background developing reusable automation components and integrating with enterprise‑scale systems.
Strong analytical abilities and an understanding of operational‑excellence methodologies.
Familiarity with task‑mining capabilities, including configuration and masking concepts.
Proficiency in process design and object‑driven modeling, including strong knowledge of BPMN 2.0.
Experience with process analytics, workflow evaluations, and productivity analysis.
Ability to interpret system logs, desktop analytics outputs, and user‑activity capture data.
Awareness of LLM‑driven insights, continuous‑observation frameworks, and emerging AI‑enabled workflow methodologies.
Job Expectations and Core Values:
Be Humble: You're smart yet always interested in learning from others
Work Transparently: You always deal in an honest, direct, and transparent way.
Take Ownership: You embrace responsibility and find joy in having the answers
Learn More: You regularly self-educate and improve your skill set.
Show Gratitude: You show appreciation and respect to those you work with
Ability to lead complex initiatives spanning multiple technologies and platforms.
Ability to collaborate effectively with a diverse set of technical and non‑technical stakeholders.
Ability to operate in a dynamic, fast‑paced environment with shifting priorities and evolving needs.
