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Remote Amazon Ai Jobs in Arizona (NOW HIRING)

Principal Software Engineer

Phoenix, AZ · On-site +1

$134K - $179K/yr

Johnston, RI, Phoenix, AZ and Remote is not an option. The Principal Software Engineer serves as a ... AI-Driven Development & Agentic Engineering * Leverage AI-assisted development tools (e.g., GitHub ...

Principal Software Engineer

Phoenix, AZ · On-site +1

$134K - $179K/yr

Johnston, RI, Phoenix, AZ and Remote is not an option. The Principal Software Engineer serves as a ... AI-Driven Development & Agentic Engineering * Leverage AI-assisted development tools (e.g., GitHub ...

Remote Amazon Ai information

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

What are the key skills and qualifications needed to thrive as a Remote Amazon AI specialist, and why are they important?

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is a Remote Amazon AI?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.

What are the most commonly searched types of Amazon Ai jobs in Arizona?

The most popular types of Amazon Ai jobs in Arizona are:

What job categories do people searching Remote Amazon Ai jobs in Arizona look for?

The top searched job categories for Remote Amazon Ai jobs in Arizona are:

What cities in Arizona are hiring for Remote Amazon Ai jobs?

Cities in Arizona with the most Remote Amazon Ai job openings:

Infographic showing various Remote Amazon Ai job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Principal Software Engineer

Citizens Financial Group

Phoenix, AZ • On-site, Remote

$134K - $179K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Description

Locations: This role will require a 4-day hybrid work schedule in one of our primary organizational hubs including: Johnston, RI, Phoenix, AZ and Remote is not an option.

The Principal Software Engineer serves as a technical authority and innovation leader, shaping architecture, mentoring engineers, and driving engineering excellence. Expertise in cloud-native architectures, modern development frameworks, and software engineering best practices is essential for delivering high-quality, secure, and scalable solutions.


Key ResponsibilitiesSoftware Engineering & Delivery
  • Design and develop full-stack applications while ensuring alignment with enterprise architecture standards.
  • Participate in Agile software development practices and collaborate effectively with cross-functional teams.
  • Design, modify, develop, and implement modern application components, tools, and services that support strategic business objectives.
  • Build scalable, maintainable, resilient, and highly available distributed systems.
  • Apply software security best practices throughout the Software Development Life Cycle (SDLC).
  • Identify, prevent, and remediate security vulnerabilities to protect systems and sensitive data.
  • Serve as a technical leader and mentor, promoting innovation, accountability, and engineering excellence.
  • Contribute to architectural decisions and technology strategy.
AI-Driven Development & Agentic Engineering
  • Leverage AI-assisted development tools (e.g., GitHub Copilot and similar technologies) to improve engineering productivity and code quality.
  • Design and implement agentic workflows throughout the software development lifecycle.
  • Utilize AI technologies for:
    • Code generation
    • Code refactoring
    • Code optimization
    • Automated code review
    • Quality analysis
    • Intelligent test generation
    • Defect detection
  • Develop and integrate AI-powered applications and services.
  • Build customer-facing solutions utilizing Large Language Models (LLMs).
  • Implement AI-driven automation for engineering and operational processes.
  • Develop multi-agent workflows for orchestration and automated decision-making.
  • Apply advanced AI solution patterns including:
    • Retrieval Augmented Generation (RAG)
    • Prompt engineering
    • Context management
    • Agent orchestration
    • Tool integration
  • Ensure secure, compliant, and responsible use of AI technologies, particularly when handling regulated financial data.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Engineering, Mathematics, or a related technical discipline.
  • 7+ years of hands-on software development experience delivering and supporting commercial software applications.
  • Demonstrated experience leading, mentoring, and developing engineering talent.
  • Strong experience developing applications using Node.js and modern Node.js frameworks.
  • Hands-on experience with Java, Spring, and Spring Boot.
  • Experience with modern front-end frameworks such as Angular, React, or similar technologies.
  • Strong understanding of authentication and security protocols including OAuth and SAML.
  • Experience implementing security controls and protecting enterprise systems and data.
  • Experience building and supporting containerized applications using Docker, Kubernetes, and/or OpenShift.
  • Cloud platform experience with AWS, Microsoft Azure, and/or Google Cloud Platform (GCP).
  • Experience developing and deploying solutions that manage sensitive or regulated data.
  • Strong knowledge of Software Development Life Cycle (SDLC) processes.
  • Experience with CI/CD pipelines and DevOps tooling, including:
    • Jenkins
    • Harness
    • Git
    • Bitbucket
    • Nexus
  • Experience with relational databases including:
    • MySQL
    • PostgreSQL
    • Oracle
  • Experience with NoSQL databases such as MongoDB.
  • Strong understanding of data structures and algorithms.
  • Experience utilizing code quality and code coverage tools.
  • Strong verbal, written, and interpersonal communication skills.
  • Hands-on experience using AI-assisted development tools such as GitHub Copilot or equivalent.
  • Familiarity with Large Language Models (LLMs) and AI application development concepts.

Preferred Qualifications
  • Experience developing applications with Go and/or Python.
  • Experience working with streaming and event-driven platforms including:
    • Kafka
    • Amazon Kinesis
    • Amazon SQS
    • Apache Storm
  • 3+ years of experience within financial services, consumer banking, wealth management, or trading environments.
  • Understanding of banking systems, operations, and financial services processes.
  • Experience with Domain-Driven Design (DDD).
  • Experience implementing Command Query Responsibility Segregation (CQRS).
  • Cloud certifications such as:
    • AWS Certified Solutions Architect
    • AWS Certified Developer
    • Equivalent Azure or GCP certifications

Technical SkillsProgramming Languages
  • Java
  • Node.js
  • Go (Preferred)
  • Python (Preferred)
Front-End Technologies
  • Angular
  • React
Frameworks
  • Spring
  • Spring Boot
  • Node.js Frameworks
Cloud Platforms
  • AWS
  • Azure
  • GCP
Containerization & Orchestration
  • Docker
  • Kubernetes
  • OpenShift
Databases
  • MySQL
  • PostgreSQL
  • Oracle
  • MongoDB
DevOps & CI/CD
  • Jenkins
  • Harness
  • Git
  • Bitbucket
  • Nexus
Security
  • OAuth
  • SAML
  • Secure SDLC Practices
AI & Emerging Technology
  • GitHub Copilot
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Agentic AI Workflows
  • Agent Orchestration
  • AI Automation

What Sets This Role Apart
  • Lead digital-first banking transformation initiatives.
  • Drive adoption of AI-powered and agentic software engineering practices.
  • Influence enterprise architecture and next-generation development methodologies.
  • Partner with engineering leaders to shape the future of software delivery and innovation.

We offer competitive pay, comprehensive medical, dental, and vision coverage, retirement benefits, maternity and paternity leave, flexible work arrangements, education reimbursement, wellness programs, and more. Citizens' paid time off policy exceeds the mandatory paid sick or paid time away policies of local and state jurisdictions in the United States. For an overview of our benefits, visit our Careers site - https://jobs.citizensbank.com/benefits.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST