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Ai Machine Learning Engineer Jobs in Arizona (NOW HIRING)

KUBRA

AI Engineer

Tempe, AZ · Hybrid

The AI Engineer is responsible for designing, building, and operationalizing intelligent systems ... Establish and enforce AI and machine learning and data operational standards, governance, and best ...

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$137.40K - $240.40K/yr

... machine learning, cloud architecture, or enterprise architecture. * Experience with compliance and regulatory aspects of AI in financial services. * Proficiency in programming languages such as ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Tempe, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Phoenix, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Mesa, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Paychex

Revenue AI & Automation Strategist

Tempe, AZ

$149.80K - $235.40K/yr

AI / Machine Learning Fundamentals Certification : Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, or equivalent * Agile / Product Delivery Certification

Varsity Tutors

Machine Learning Tutor

Gilbert, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Tucson, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Varsity Tutors

Machine Learning Tutor

Chandler, AZ · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Paychex

Revenue AI & Automation Strategist

Phoenix, AZ

$149.80K - $235.40K/yr

AI / Machine Learning Fundamentals Certification : Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, or equivalent * Agile / Product Delivery Certification

Vangard, Inc.

AI/ML Product Manager

Scottsdale, AZ · On-site

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial ... Professional Machine Learning Engineer, or Pragmatic Product Management. Special factors * This ...

Honeywell

Sr. Advanced AI Software Engineer

Phoenix, AZ · On-site

$115.60K - $152.40K/yr

Core AI / Machine Learning * Deep expertise in : Machine learning fundamentals (supervised ... Programming & Software Engineering: Strong proficiency in Python (primary AI development language ...

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All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in Arizona

Ai Machine Learning Engineer information

See Arizona salary details

$29.4K

$120K

$180.3K

How much do ai machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for ai machine learning engineer in Arizona is $119,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI Machine Learning Engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is an AI Machine Learning Engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

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

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

What are popular job titles related to Ai Machine Learning Engineer jobs in Arizona? For Ai Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Ai Machine Learning Engineer jobs in Arizona are:
Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in Arizona as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,998 per year, or $57.7 per hour.

AI Engineer

KUBRA

Tempe, AZ • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

KUBRA HQ is KUBRA's unified, AI-powered, cloud-native platform that brings together all of our billing, payments, and customer experience solutions under one scalable system. It serves as the foundation for KUBRA's products - from payments and alerts to portals and analytics - enabling clients to manage the entire customer communication and billing journey seamlessly.
 
The AI Engineer is responsible for designing, building, and operationalizing intelligent systems that extract value from data and power AI-driven product capabilities. This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics.
 
The AI Engineer partners with Product, BI, and Data Engineering teams to establish AI and machine learning standards, architect scalable AI systems, and deliver measurable business impact across internal and customer-facing solutions.
 
This is a hybrid opportunity in Tempe, AZ.
How You'll Contribute
  • Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
  • Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction).
  • Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
  • Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
  • Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
  • Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing.
  • Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.
Strengths That Shine in This Role
  • Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured AI and data solutions.
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to collaborate effectively across Product, Engineering, BI, and Data teams.
  • Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
  • Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
  • Professionalism and composure when operating under pressure or resolving production issues.
Skills That Matter in This Role
  • Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
  • Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration.
  • Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration).
  • Strong programming skills in Python & SQL, experience writing production-quality code
  • Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data platforms
  • Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable.
  • Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.
Why You'll Love Working Here
  • Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards
  • Earn competitive pay with annual performance-based bonuses that recognize your impact
  • Invest in your future with our 401(k) plan featuring company matching
  • Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
  • Recharge with paid vacation and sick days - and a paid day off for your birthday
  • Make an impact with two paid volunteer days to give back to your community
  • Advance your skills with  free access to LinkedIn Learning and our education reimbursement program
  • Prioritize your mental health with a free premium Headspace membership
  • Stay active with our on-site fitness center
  • Refuel at fully stocked refreshment stations with complimentary drinks and snacks
  • Enjoy exclusive perks with access to "Tickets at Work" discounts and memberships
KUBRA is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We will provide accommodations during the recruitment process upon request by emailing [email protected]. Information received relating to accommodation will be addressed confidentially. We thank all applicants for their interest; however, only candidates under consideration will be contacted.
 
#LI-AA1

While we value the skills and experiences listed in our job requirements, we also recognize that talent comes in many forms, and welcome applications from candidates who meet most but not all specified requirements. If you possess a strong desire to learn and grow in a dynamic work environment, apply now!
 
KUBRA is a fast-growing company that delivers customer communications solutions to some of the largest utility, insurance, and government entities across North America. KUBRA offers billing and payments, mapping, mobile apps, proactive communications, and artificial intelligence solutions for customers. With more than 1.5 billion customer interactions annually, KUBRA services reach over 40% of households in the U.S. and Canada. KUBRA is an operating subsidiary of Hearst.
 
Our office is small enough to allow creative individuals to flourish, yet large enough to provide long-term stability. We place a tremendous amount of responsibility on our team members to be productive, focused and self-motivated. We offer a casual work environment, competitive compensation and a stellar benefits program. 
 
KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or permanent residency nominations. Candidates must ensure they have legal authorization to work in the U.S/ Canada. All sponsorship determinations are case by case based on business need.
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