Principal Engineer

About This RoleWells Fargo is seeking a senior engineering leader to support Fargo, the enterprise Virtual Assistant and GenAI platform, which powers conversational, AI-driven experiences across multiple lines of business. This role will focus on large-scale platform engineering, AI enablement, and cross-enterprise integration, operating at the intersection of architecture, security, and business transformation.In This Role, You Will:Act as a technical and architectural advisor to senior leadership for an enterprise GenAI and conversational platform, influencing design and implementation of highly complex applications, APIs, AI/ML integrations, streaming technologies, security controls, and cloud-native platforms across multiple enterprise teamsLead strategy and resolution of complex, cross-domain challenges involving GenAI, conversational platforms, API enablement, authentication/authorization, data domains (EDE), and enterprise compliance, delivering scalable, long-term solutionsTranslate advanced engineering experience and a deep understanding of enterprise AI strategy, platform roadmaps, and business objectives into pragmatic, production-ready technical solutionsProvide vision and direction on GenAI adoption, including LLM integration patterns, prompt orchestration, model governance, observability, and responsible AI controls within an enterprise AI platformDrive architectural alignment for real-time and near-real-time experiences, including streaming (e.g., HTTP 1.1 SSE), event-driven integrations, and performance optimization for conversational entry pointsPartner closely with product, security, platform, and data teams to ensure enterprise AI solutions meet security, privacy, resiliency, and regulatory standardsMaintain awareness of industry best practices in AI platforms, conversational systems, and cloud-native engineering, recommending innovations that improve customer experience, developer productivity, and operational efficiencyStrategically engage with engineering leaders, architects, and executives across the enterprise, serving as a trusted expert and thought leader for enterprise GenAI initiativesRequired Qualifications:7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education3+ years of experience in AI/ML technologies, including Large Language Models (LLMs), prompt engineering, model integration, or applied machine learning in production environments3+ years of experience with distributed streaming and event-driven architectures, using technologies such as Kafka, Flink, or similar real-time data processing frameworks5+ years of experience in database design and data architecture, including relational and/or NoSQL systems, data modeling, and high-throughput data access patterns7+ years of programming experience in Java and/or Python, building scalable, production-grade backend systems and APIs3+ years of experience designing and integrating APIs and microservices, including REST/gRPC services and service orchestration patterns3+ years experience working with cloud-native platforms and architectures, including containerization, distributed systems, and scalable deployment models5+ years experience with system design and architecture for high-scale applications, including performance optimization, fault tolerance, and resiliency3+ years working and understanding of security, data privacy, and governance considerations, especially in regulated enterprise environmentsDesired Qualifications:Experience with conversational platforms, chatbots, or virtual assistants at enterprise scaleHands-on experience with GenAI / LLM integrations, including prompt management, orchestration layers, and AI safety or governance controlsKnowledge of API security, OAuth, authentication/authorization platforms, and reverse-proxy or gateway patternsExperience working with streaming or real-time technologies to support low-latency user experiencesFamiliarity with enterprise data domains (e.g., EDE) and data access patterns for AI-driven applicationsAbility to operate effectively in highly matrixed organizations, influencing without direct authorityJob Expectations:Drive architectural consistency and technical excellence across Fargo integrationsBalance innovation with risk management, compliance, and operational stabilityCommunicate complex technical concepts clearly to executive and non-technical stakeholdersSupport cross-LOB onboarding and adoption of Fargo capabilitiesThis position offers a hybrid work scheduleThis position is not eligible for Visa sponsorship or transfer of visaRelocation assistance is not available for this positionLocation:300 S. Brevard St., Charlotte, NC2600 S Price Rd., Chandler, AZ1755 Grant St., Concord, CA333 Market Street, San Francisco, CAPay range:Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.For other locations : 159,000.00 - 254,000.00 USD AnnualFor CA locations only: 191,000.00 - 305,000.00 USD AnnualBenefits: Information about Wells Fargo's US employee benefits Information about Wells Fargo's International employee benefits Posting End Date:29 May 2026 Job posting may come down early due to volume of applicants.Pay RangeReflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.$159,000.00 - $305,000.00Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementPosting End Date:28 May 2026 Job posting may come down early due to volume of applicants. We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.Applicants With DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .Drug and Alcohol PolicyWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.Wells Fargo Recruitment And Hiring Requirements: Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.Reference Number: R-530294-4