Principal AI Engineer

Wells Fargo

Principal Engineer focusing on designing and delivering enterprise-scale AI-driven platforms at Wells Fargo. Leading strategic initiatives and acting as a technical authority across multiple groups.

Posted 7/22/2026full-timeSan Francisco • Arizona, California, North Carolina • 🇺🇸 United StatesLead💰 $159,000 - $305,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in engineering leadership, focusing on the design and implementation of AI-enabled platforms and cloud-native solutions. Capable of translating complex technical concepts into scalable architectures while ensuring alignment with security and compliance standards.

Highest-signal resume keywords

AI-Powered Tools DevelopmentCloud Architecture ExperienceLarge-Scale Platform DeliveryTechnical LeadershipExecutive-Level Technical Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Engineering ExperienceArchitecture DesignAI Risks UnderstandingObservability NeedsGenerative AI SystemsAgentic AI SystemsReusable ArchitecturesProduction-Ready SystemsLegacy ModernizationAutomation Workflows

Soft Skills

Strategic EngagementCommunication SkillsAnalytical ThinkingCreativityInnovation

Tools & Technologies

Google Cloud PlatformMicrosoft AzureAWSTachyon

Industry Keywords

Information SecurityWeb TechnologiesEnterprise Business ObjectivesCross-Organizational InitiativesBest PracticesEmerging TechnologiesAI AdvancementsDecision Support

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Act as a trusted advisor to leadership, guiding the development and influence of applications, networks, information security, databases, operating systems, web technologies, and emerging AI capabilities to address highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex, unique challenges through end‑to‑end solution design, including Generative and Agentic AI systems, cloud‑native platforms, and legacy modernization efforts that require long‑term vision, creativity, innovation, and advanced analytical thinking
Translate advanced technology expertise, deep understanding of enterprise business objectives, organizational structure, and the broader technology ecosystem into scalable engineering solutions, such as reusable architectures, AI-enabled platforms, and production‑ready systems
Provide vision, direction, and technical leadership to senior leaders on implementing innovative business solutions, embedding AI and automation into product delivery workflows, decision support, and developer productivity while ensuring alignment with security, compliance, and responsible AI standards
Maintain deep awareness of industry best practices, emerging technologies, and AI advancements, proactively recommending innovations that modernize operations, improve efficiency and quality, and create competitive advantage for the organization
Strategically engage with professionals and managers at all levels of the enterprise, serving as an expert technical advisor and escalation point for complex platform, data, and AI decisions while mobilizing and guiding large‑scale, cross‑organizational initiatives and communicating progress to executive leadership

Requirements

What you’ll need

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems
4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication
3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon
3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling

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