Wells Fargo Logo

Wells Fargo

Principal Engineer

Reposted 2 Hours Ago
Be an Early Applicant
Hybrid
Phoenix, AZ
Senior level
Hybrid
Phoenix, AZ
Senior level
Leads enterprise PCI-compliant engineering solutions protecting cardholder and personally identifiable information. Responsibilities include designing secure architectures, identifying and remediating data risks, implementing encryption and tokenization, and advising leadership on PCI strategy. The role also prototypes AI and agentic AI solutions for data discovery, classification, risk scoring, and evidence generation. The engineer collaborates across product, risk, security, compliance, and technology teams while mentoring engineers and shaping enterprise roadmaps.
The summary above was generated by AI
About this role:
Wells Fargo is seeking a Principal Engineer to join PCI team within Consumer Technology Architecture & Engineering organization. With our intense focus on data security, this principal engineer will lead technical solutions for large complex programs to protect card holder data. Should be able to act as a lead and technical expert to analyze delivery requirements, solution, design and deploy the solution to protect customer PII data across the customer journeys and business process flow. Should be a hand on engineer with ability to lead and work collaboratively with Product, business, and IT teams across multiple product areas. This role also requires forward-thinking capabilities in AI and agentic AI systems, with the opportunity to explore and build innovative AI-driven solutions to enhance PCI compliance and risk management.
In this role, you will:
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
  • Lead engineering efforts to implement and maintain PCI-compliant architectures across the enterprise.
  • Collaborate with LOBs, Risk, Security, and Compliance teams to identify cardholder data risks and design remediation strategies.
  • Develop and maintain scalable, secure solutions for cardholder data protection in alignment with PCI DSS requirements.
  • Design and prototype AI/agentic AI solutions to improve PCI-related processes such as data discovery, classification, risk scoring, and automated evidence generation.
  • Serve as a subject matter expert on PCI standards and AI technologies, mentoring other engineers and influencing enterprise architecture.
  • Contribute to enterprise-level PCI strategy and technology roadmaps.
  • Evaluate and integrate tools that support PCI compliance, such as data tokenization, encryption, logging, and AI-driven policy enforcement.
  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:
  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 7+ years deep understanding of PCI DSS requirements, including experience implementing compliant solutions.
  • 7+ years of hand on Java and Python experience
  • 7+ years of deep understanding and hands on experience of the microservices, restful API's, event-driven and Integration architecture.
  • 7+ years of experience with databases and data models
  • 5+ years of Agile experience

Desired Qualifications:
  • Ability to lead the strategy and resolution of highly complex and unique challenges requiring in-depth technical evaluation across multiple product areas.
  • Provide technology vision, direction, and expertise to leadership on implementing innovative and significant business solutions
  • Experience with the engineering, design, deployment, and architecture of data at rest encryption or tokenization solutions
  • Experience with PCI scope reduction techniques (e.g., tokenization, P2PE, segmentation).
  • Knowledge of agentic AI concepts and their application to security or compliance use cases.
  • Contributions to open-source security tools, AI frameworks, or PCI industry working groups.
  • Certifications: PCI ISA or AI/ML certifications.

Locations:
  • 2222 W Rose Garden Ln, Phoenix, AZ
  • 2501 S Price Rd, Chandler, AZ
  • 111432 Las Colinas, Irving, TX

Please note:
  • Job posting may come down early due to volume of applicants.
  • Required location(s) listed above. Relocation assistance is not available for this position.
  • Salary range is determined by location of the job. May be considered for a discretionary bonus, Restricted Share Rights, or other long - term incentive awards.
  • This position is not eligible for visa sponsorship.

Posting End Date:
22 Oct 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells 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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Similar Jobs at Wells Fargo

4 Days Ago
Hybrid
159K-254K Annually
Senior level
159K-254K Annually
Senior level
Fintech • Financial Services
Leads enterprise architecture and engineering standards for public-cloud data, analytics, AI/ML, and agentic AI platforms. Drives cloud transformation, lakehouse and data mesh modernization, streaming, governance, reliability, security, compliance, and cost efficiency. Defines frameworks for AI agents, orchestration, RAG, model governance, and human oversight while enabling self-service data products and automated workflows. Partners with engineering, cybersecurity, risk, audit, and business leaders to establish scalable, resilient, and secure platforms.
Top Skills: Agentic AiAi/MlAmazon Web ServicesBigQueryCloud AnalyticsCloud ComputingCloud IamCloud NetworkingCloud SecurityCloud StorageData CatalogsData GovernanceData LakehouseData LineageData MeshDatabricksDevOpsEvent-Driven ArchitecturesGenerative AiGoogle Cloud PlatformInfrastructure As CodeKubernetesLarge Language ModelsMetadata ManagementAzureMlopsModel Context ProtocolMulti-Agent SystemsReal-Time AnalyticsRetrieval Augmented GenerationSnowflakeStarburstStreaming ArchitecturesVector Databases
2 Hours Ago
Hybrid
Senior level
Senior level
Fintech • Financial Services
Leads enterprise PCI-compliant engineering solutions protecting cardholder and PII data. Designs secure architectures, remediation strategies, encryption and tokenization solutions, and scalable compliance systems. Prototypes AI and agentic AI applications for data discovery, classification, risk scoring, policy enforcement, and evidence generation. Partners with business, risk, security, compliance, and technology teams; advises leadership, shapes PCI strategy and roadmaps, evaluates security tools, and mentors engineers.
Top Skills: Agentic AiAgileArtificial IntelligenceData ModelingData TokenizationDatabasesEncryptionEvent-Driven ArchitectureIntegration ArchitectureJavaLoggingMicroservicesNetwork SegmentationPci DssPoint-To-Point EncryptionPythonRest Apis
2 Hours Ago
Hybrid
159K-305K Annually
Senior level
159K-305K Annually
Senior level
Fintech • Financial Services
Lead network reliability strategy and incident response for enterprise network services. Define SLOs/SLIs, improve resiliency and change success, drive automation and observability, perform architecture reviews, mentor engineers, and coordinate cross-functional remediation and vendor management to reduce operational risk and improve stability.
Top Skills: AnsibleAristaAws NetworkingAzure NetworkingBashBgpCiscoDnsFirewallsJuniperLoad BalancingMonitoringNetwork SecurityNtpObservabilityOspfPacket Capture (Wireshark)PowershellPythonRoutingSdnSwitchingTcp/IpTelemetryTerraform

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account