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About Wells Fargo
Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services
Wells Fargo currently has
23 open roles
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Listed pay typically runs
$159,000–$279,500
across 8 roles with salary data.
The Senior Lead Systems Operations Engineer-ITSM AI Specialist joins the ITSM Product organization to design and accelerate the adoption of AI-enabled solutions across core service management offerings. This role involves identifying, testing, and implementing fit-for-purpose AI capabilities for Incident, Problem, Change, SACM, Business Application Management, and Service Level Management. You will translate business workflows into practical solution designs, evaluating patterns across deterministic automation, predictive models, generative AI, agentic AI, and traditional APIs. Key responsibilities include developing architecture recommendations, conducting hands-on experimentation, and coaching development teams on AI/ML/GenAI concepts. The position requires expertise in solution design, technical product management, and systems engineering to solve complex operational problems within a highly governed enterprise environment, specifically focusing on improving customer effort and operational outcomes through scalable AI patterns.
Design and accelerate AI-enabled capabilities across the ITSM product portfolio, focusing on Incident, Change, and Problem Management.
Translate business processes and user interactions into practical AI solution designs, including orchestration patterns and implementation approaches.
Evaluate and recommend specific solution patterns across deterministic automation, predictive models, generative AI, and agentic AI.
Develop tangible solution artifacts such as architecture recommendations, use-case assessments, design patterns, and measurement approaches.
Conduct hands-on experimentation and prototype evaluation to validate solution feasibility, value, and operational fit.
Coach Product Owners and development teams on AI/ML/GenAI concepts, design patterns, and practical implementation tradeoffs.
Partner with engineering, architecture, and governance stakeholders to ensure AI solutions are scalable and aligned with enterprise standards.
Influence senior leaders on AI strategy, implementation options, risks, and expected business outcomes within the ITSM domain.
What we're looking for
7+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through work experience, training, or military experience.
Experience designing, implementing, or enabling AI, machine learning, generative AI, or intelligent automation solutions in an enterprise environment.
Experience in solution design, technical product management, or architecture-related work translating business needs into technology solutions.
Experience working across cross-functional teams including product, engineering, architecture, and governance stakeholders.
Experience evaluating and applying multiple solution patterns, including workflow automation, analytics, machine learning, generative AI, agentic AI, and API/integration-based approaches.
Demonstrated ability to influence strategy, guide implementation decisions, and produce tangible solution artifacts for complex technical and business problems.
Hands-on experience with experimentation, prototyping, or practical implementation of AI-enabled capabilities.
Strong knowledge of IT Service Management (ITSM) practices, preferably across Incident, Problem, Change, SACM, Business Application Management, or Service Level Management (preferred).
Remote (Louisville, KY)4 days ago
$106,900–$147,000
Generative AI
Machine Learning
Large Language Models
LLMs
Prompt Engineering
Data Pipelines
AI Agents
Workflow Automation
Unit Testing
Mocking
APIs
System Integrations
Root Cause Analysis
Analytics
Dashboards