Principal AI Engineer

Wells Fargo

. Partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.

Posted 3/27/2026full-timeCharlotte • Arizona, California, North Carolina, Texas • 🇺🇸 United StatesLead💰 $159,000 - $305,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsPythonServiceNow

About the role

Key responsibilities & impact

Partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.
Design, prototype, and deliver AI-driven workflows, agents, copilots, and automations using large language models (LLMs) and enterprise AI services.
Integrate AI capabilities with enterprise platforms and systems (e.g., ServiceNow, Salesforce, data platforms, internal services) using secure APIs and orchestration patterns.
Rapidly iterate on prototypes and transition them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability.
Act as a technical bridge between business, product, data, security, and engineering teams to ensure solutions are usable, compliant, and aligned with business objectives.
Lead solution architecture and design activities, including: Prompt engineering and AI workflow design API integration and service orchestration Enterprise knowledge and data integration Security, privacy, risk, and governance considerations.
Own solutions across the full lifecycle—from concept and proof of value through production deployment and continuous improvement.
Apply and promote best practices for responsible AI, including model risk management, data protection, and compliance with enterprise and regulatory requirements.
Contribute to the development of reusable patterns, standards, and guidance to support scalable AI adoption across the enterprise.

Requirements

What you’ll need

7+ years of software engineering experience, including designing and delivering production-grade systems.
7 + experience with API design, integration, and distributed systems in an enterprise environment.
2+ Years of Hands-on experience building and integrating AI or ML-powered applications, including experience with large language models (LLMs).
2+ Years of experience in Python programming language.

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringAPI designintegrationdistributed systemsAI applicationsML applicationslarge language modelsPython programmingsolution architectureprompt engineering

Soft Skills

collaborationcommunicationproblem-solvingleadershiptechnical bridgingadaptabilitycritical thinkingstakeholder engagementproject managementbest practices promotion