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Machine Learning Ai Developer Jobs in Arizona (NOW HIRING)

Senior AI Engineer

Scottsdale, AZ · On-site

$55.75 - $71.75/hr

Machine Learning & AI Engineering * Design, develop, deploy, and optimize production-ready machine ... learning solutions. * Build predictive and prescriptive models supporting customer retention, sales ...

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and ... Git, Azure DevOps, CI/CD, Docker, Kubernetes Company Description MY DR NOW, the largest privately ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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Machine Learning Ai Developer information

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What job categories do people searching Machine Learning Ai Developer jobs in Arizona look for? The top searched job categories for Machine Learning Ai Developer jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Ai Developer jobs? Cities in Arizona with the most Machine Learning Ai Developer job openings:
Infographic showing various Machine Learning Ai Developer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior AI Engineer

Consumer Cellular

Scottsdale, AZ • On-site

$55.75 - $71.75/hr

Full-time

Posted 22 days ago


Consumer Cellular rating

7.9

Company rating: 7.9 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

31st of 96 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

Pay

Benefits

Hours and flexibility

Workplace

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