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Learning Ai Jobs in Arizona (NOW HIRING)

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AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt workflows, and ...

Harnham

Learning and Development Lead

Phoenix, AZ · On-site +1

We're looking for an experienced Learning & Development Consultant to own and elevate our training ... LinkedIn Recruiter & AI Recruiting Tools * Candidate Qualification & Interview Best Practices

Harnham

Learning and Development Lead

Phoenix, AZ · On-site

$110 - $150/hr

Learning and Development Lead Application Deadline: 21 August 2026 Department: US Sales Employment ... LinkedIn Recruiter & AI Recruiting Tools * Candidate Qualification & Interview Best Practices

Harnham

Learning and Development Lead

Phoenix, AZ · On-site

Learning and Development Lead Application Deadline: 21 August 2026 Department: US Sales Employment ... LinkedIn Recruiter & AI Recruiting Tools * Candidate Qualification & Interview Best Practices

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All JobsLearning Ai JobsLearning Ai Jobs in Arizona

Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build relevant skills and demonstrate your knowledge to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.
What are popular job titles related to Learning Ai jobs in Arizona? For Learning Ai jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Learning Ai jobs in Arizona look for? The top searched job categories for Learning Ai jobs in Arizona are:
What cities in Arizona are hiring for Learning Ai jobs? Cities in Arizona with the most Learning Ai job openings:
Learning Ai jobs near you

Senior AI Engineer

Consumer Cellular

Scottsdale, AZ • On-site

$55.75 - $71.75/hr

Full-time

Posted 26 days ago

Consumer Cellular rating

7.9

Company rating: 7.9 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

30th of 97 rated telecommunications companies

Job description

Our Commitment to You
At Consumer Cellular, recruiting is human. Every application is reviewed by a real member of our Talent Acquisition team because we believe the people behind the résumé matter just as much as what's on it.
All official communication from Consumer Cellular will come from a @consumercellular.com email address or through our verified texting platform, which will only be used to schedule interviews. We will never ask for personal and financial information during the recruiting process. If you receive outreach that doesn't match these criteria, please do not engage and feel free to verify directly at talentacquisition@consumercellular.com.
You will need to reside within 50 miles of our Corporate Headquarters in Scottsdale, AZ as this role has the option of hybrid or onsite.
Job Summary
Consumer Cellular is seeking a visionary Senior AI Engineer to lead the design, strategy, and execution of Artificial Intelligence solutions that transform how we serve customers and empower employees.
Reporting directly to the Chief Information Officer, this highly visible role will define the company's AI roadmap while partnering with executive leadership and business domain owners to identify opportunities where AI can fundamentally improve business outcomes.
This leader will combine deep technical expertise with strategic business acumen to design intelligent systems, machine learning solutions, and AI-powered decisioning agents that improve employee productivity, elevate customer experiences, and reimagine work across the enterprise.
Success in this role requires someone who is equally comfortable discussing enterprise AI strategy with executives, facilitating innovation workshops with business leaders, and designing scalable AI architectures that move from concept to production.
This is more than an engineering role-it's an opportunity to shape the future of work at Consumer Cellular.
What You Will Do
AI Strategy & Enterprise Transformation
  • Develop and execute Consumer Cellular's enterprise AI strategy aligned with business priorities.
  • Identify opportunities where Artificial Intelligence can fundamentally improve operations, customer experiences, and employee productivity.
  • Partner with executive leadership and business stakeholders to create AI roadmaps and implementation strategies.
  • Lead AI discovery sessions across Customer Care, Retail, Sales, Marketing, Finance, HR, Operations, and Technology.
  • Challenge existing business processes by reimagining how work should be performed in an AI-enabled organization.
  • Prioritize AI initiatives based on business value, feasibility, customer impact, and operational efficiency.
  • Build executive-level business cases demonstrating measurable ROI for AI investments.

AI Solution Architecture
  • Design enterprise-scale AI solutions supporting customer-facing and employee-facing experiences.
  • Architect intelligent decisioning agents that augment frontline employees during customer interactions.
  • Design Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge.
  • Build scalable AI platforms capable of supporting multiple business domains.
  • Define standards for AI architecture, model governance, observability, security, and responsible AI.
  • Evaluate emerging AI technologies and determine applicability within Consumer Cellular.

Machine Learning & AI Engineering
  • Design, develop, deploy, and optimize production-ready machine learning solutions.
  • Build predictive and prescriptive models supporting customer retention, sales optimization, workforce management, fraud detection, and operational efficiency.
  • Develop AI copilots and intelligent assistants using Large Language Models.
  • Optimize prompts, model performance, reasoning quality, and AI workflows.
  • Establish MLOps standards supporting enterprise deployment and lifecycle management.

Intelligent Agent Development
Lead Development of AI Agents capable of
  • Customer service decision support
  • Knowledge retrieval
  • Workflow orchestration
  • Next-best-action recommendations
  • Employee coaching
  • Quality assurance automation
  • Contact summarization
  • Customer journey optimization

These agents should improve employee decision making while preserving the human connection that defines Consumer Cellular's customer experience.
Business Partnership
  • Build trusted relationships with executive leaders and business domain experts.
  • Translate operational challenges into AI-enabled business solutions.
  • Lead AI workshops focused on innovation and future-state process design.
  • Influence business leaders to adopt AI-driven operating models.
  • Communicate complex AI concepts to technical and non-technical audiences.

Technical Leadership
  • Provide technical leadership for enterprise AI initiatives.
  • Mentor engineers and promote AI best practices.
  • Establish coding standards, architecture patterns, and engineering excellence.
  • Drive experimentation while maintaining production-quality engineering discipline.
  • Stay ahead of emerging technologies including:
    • Large Language Models
    • Agentic AI
    • Autonomous AI Systems
    • Machine Learning
    • Multi-Agent Frameworks
    • AI Governance
    • Intelligent Automation

What Consumer Cellular employees say

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Benefits

Hours and flexibility

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