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Patterned Learning Ai Jobs in Arizona (NOW HIRING)

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

Design, develop, train, fine-tune, and evaluate machine learning models using PyTorch and ... Partner with the Chief Architect AI & Data and CAIO to define AI architecture patterns and best ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

Design, develop, train, fine-tune, and evaluate machine learning models using PyTorch and ... Partner with the Chief Architect AI & Data and CAIO to define AI architecture patterns and best ...

eVisit

Enterprise Application Architect

Mesa, AZ · On-site +1

Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML ... Define API strategy, governance, and system integration patterns to ensure seamless ...

eVisit

Enterprise Application Architect

Mesa, AZ · On-site

Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML ... Define API strategy, governance, and system integration patterns to ensure seamless ...

Sayva Solutions

AI Full Stack Developer

Phoenix, AZ · On-site

$140K - $155K/yr

Create and maintain standardized development patterns, templates, and tooling that improve ... learning, and employee well-being Opportunity to help define AI-enabled software development ...

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Patterned Learning Ai information

What are some typical challenges faced by Patterned Learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What is Patterned Learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.
What are popular job titles related to Patterned Learning Ai jobs in Arizona? For Patterned Learning Ai jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Patterned Learning Ai jobs in Arizona look for? The top searched job categories for Patterned Learning Ai jobs in Arizona are:
What cities in Arizona are hiring for Patterned Learning Ai jobs? Cities in Arizona with the most Patterned Learning Ai job openings:
Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Temporary, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.
Principal Engineer - ICMP & IDOCS Platform Solution Lead (Enterprise Content Management, Java Pla...

Principal Engineer - ICMP & IDOCS Platform Solution Lead (Enterprise Content Management, Java Pla...

Wells Fargo

Phoenix, AZ

Full-time

Posted 2 days ago

Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 702 frontline employees who took The Breakroom Quiz

75th of 150 rated banks

Job description

About this role:

Wells Fargo is seeking a Principal Engineer within Digital Technology & Innovation supporting the Imaging Content Management Platform (ICMP) and Intelligent Document Services (IDOCS).

ICMP is one of the enterprise's most critical technology platforms, providing document management, imaging, content services, storage, retention, archival, retrieval, and governance capabilities supporting lines of business across Wells Fargo. The platform manages over 50 billion documents and serves as a foundational enterprise service for customer, operational, regulatory, and risk management processes.

This role will serve as the senior technical leader responsible for defining and executing the long-term architecture, engineering strategy, modernization roadmap, and technical standards for ICMP and IDOCS. The Principal Engineer will lead highly scalable, secure, resilient, and compliant content management solutions while advancing intelligent document processing, automation, and AI capabilities across the enterprise.

The ideal candidate is a deeply hands-on technologist with extensive experience in enterprise Java development, distributed systems, content management platforms, cloud-native architectures, and large-scale technology modernization. This individual will combine strong platform engineering expertise with strategic leadership to evolve Wells Fargo's next-generation content and document services ecosystem.

In this role, you will provide:

Enterprise Architecture & Platform Leadership

  • Define and evolve the enterprise architecture vision and technology strategy for ICMP and IDOCS.
  • Lead the design and implementation of highly scalable content management, document processing, and enterprise content service solutions.
  • Establish architecture standards, engineering principles, and technology roadmaps for enterprise document repositories, content lifecycle management, storage, retention, governance, search, and retrieval capabilities.
  • Lead modernization efforts across ICMP platforms, reducing technical debt while improving reliability, scalability, observability, and operational efficiency.
  • Serve as the principal technical advisor to executive leadership for strategic technology investments and modernization initiatives.

Engineering Excellence

  • Remain deeply hands-on in architecture, design reviews, proof-of-concepts, and critical platform development activities.
  • Lead complex enterprise engineering initiatives spanning multiple organizations and technology domains.
  • Drive engineering rigor through automation, testing, performance optimization, observability, resiliency, and secure coding practices.
  • Establish standards and best practices for Java platform engineering, microservices architecture, cloud-native solutions, and distributed systems.
  • Define enterprise integration patterns using APIs, event-driven architectures, and shared platform services.

Content Management & Document Services

  • Lead engineering strategy for enterprise-scale document ingestion, capture, indexing, storage, retrieval, archival, records management, and disposition capabilities.
  • Establish architecture standards for document lifecycle management, metadata management, content governance, and records retention.
  • Drive continuous improvement of enterprise content services supporting both business and regulatory requirements.
  • Partner with cybersecurity, legal, compliance, risk, and operational stakeholders to ensure content management solutions meet enterprise governance standards.

AI & Intelligent Document Services

  • Drive intelligent document processing initiatives leveraging machine learning, AI, and Generative AI technologies.
  • Lead the architecture of AI-enabled document classification, extraction, validation, enrichment, and workflow automation capabilities within IDOCS.
  • Define enterprise patterns for integrating AI capabilities into content management and document processing platforms.
  • Evaluate and implement emerging AI technologies in a responsible, secure, explainable, and scalable manner.
  • Guide teams from proof-of-concept through production deployment of AI-powered business capabilities.

Leadership & Influence

  • Mentor engineers, architects, and technical leaders across the organization.
  • Provide technical vision and thought leadership across Wells Fargo's content and document technology ecosystem.
  • Partner closely with product management, platform engineering, infrastructure, security, risk, and business teams.
  • Influence enterprise architecture decisions and technology standards across multiple organizations.
  • Foster a culture of technology innovation, engineering excellence, accountability, and continuous learning.

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 of hands-on software engineering experience using Java and modern JVM technologies.
  • 7+ years of experience designing and building enterprise-scale platforms, distributed systems, and mission-critical applications.
  • 5+ years of hands-on experience with cloud-native platforms, containers, Kubernetes/OpenShift, and enterprise CI/CD practices.

Desired Qualifications

  • Significant experience designing, developing, and operating enterprise content management, document management, imaging, records management, or content services platforms.
  • 5+ years of experience implementing Infrastructure as Code solutions using Terraform, Crossplane, or similar technologies.
  • Deep expertise in microservices architecture, RESTful APIs, event-driven systems, and service-oriented architectures.
  • Experience building and operating highly available, resilient systems at enterprise scale.
  • Experience with event-driven architectures utilizing Kafka or similar messaging technologies.
  • Strong knowledge of information security, risk management, regulatory compliance, and enterprise architecture practices.
  • Proven track record leading large-scale technology transformations with enterprise-wide impact.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Experience with enterprise content management, imaging, workflow, capture, archive, document management, or records management platforms.
  • Deep understanding of document lifecycle management, metadata management, governance, retention, archival, legal hold, and compliance requirements.
  • Experience managing large-scale content repositories supporting billions of content objects.
  • Experience designing enterprise content service platforms used across multiple lines of business.
  • 3+ years of experience architecting and implementing AI-powered document processing solutions.
  • Experience integrating Generative AI capabilities into enterprise applications and business workflows.
  • Knowledge of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI frameworks, vector databases, and enterprise AI orchestration patterns.
  • Experience implementing AI governance, Responsible AI practices, and Model Risk Management (MRM) controls within regulated environments.
  • Experience with cloud-based AI platforms including Google Vertex AI, Azure AI, Gemini Enterprise, or equivalent technologies.
  • Strong programming expertise in Python and related AI/automation technologies.
  • Experience with relational and NoSQL database technologies including Oracle and MongoDB.
  • Experience with automation platforms and DevOps tooling, including GitHub Actions, Harness, Ansible, or similar solutions.
  • Experience with modern front-end technologies including ReactJS.
  • Knowledge of enterprise observability, performance engineering, and site reliability engineering practices.
  • Familiarity with Wells Fargo content management and document-processing platforms including ICMP, IDOCS, Tachyon, Capture, and related enterprise services.
  • Understanding of financial services regulatory requirements governing document retention, content governance, privacy, auditability, and records management.

Job Expectations:

  • This position offers a hybrid work schedule
  • Commitment to Wells Fargo's risk culture and ethical standards
  • This position is not eligible for Visa sponsorship

Posting End Date:

23 Jul 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, visitDisability 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.

What Wells Fargo employees say

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Benefits

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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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