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Machine Learning Architect Jobs in Arizona (NOW HIRING)

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ · On-site

$68.75 - $91.75/hr

... statistical concepts, machine learning, feature engineering and artificial intelligence ... Understanding of data architecture practices and governance methodologies. * Proficiency with ...

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ · On-site

$68.75 - $91.75/hr

... statistical concepts, machine learning, feature engineering and artificial intelligence ... Understanding of data architecture practices and governance methodologies. * Proficiency with ...

PNC Bank

Senior Solution Architect - Salesforce

Phoenix, AZ · On-site

$80K - $209K/yr

Preferred Skills Competitive Advantages, Customer Solutions, Data Strategies, Design, Enterprise Architecture Framework, Enterprise Integration Patterns, Machine Learning (ML), Platform Architecture ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$100K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications * Leverage advanced technical skills in modern data architecture, data science ...

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics ... Familiarity with machine learning and AI techniques leveraging graph data * Experience working in ...

Citizens

Principal Data Engineer - Neo4J

Phoenix, AZ · On-site

Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics ... Familiarity with machine learning and AI techniques leveraging graph data * Experience working in ...

Sonsoft Inc

Tablue Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Machine Learning - Scala, Python possess strong AMEX domain expertise.. Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three ...

Teaching with Telescopes

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Serve as the organization's senior technical authority for AI, machine learning, and advanced analytics. * Mentor engineers, scientists, and technical teams in AI technologies, architecture, and ...

Rubin Obs

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Serve as the organization's senior technical authority for AI, machine learning, and advanced analytics. * Mentor engineers, scientists, and technical teams in AI technologies, architecture, and ...

NOAO

Principal AI Engineer

Tucson, AZ · On-site

Serve as the organization's senior technical authority for AI, machine learning, and advanced analytics. * Mentor engineers, scientists, and technical teams in AI technologies, architecture, and ...

NSF's NOIRLab

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Serve as the organization's senior technical authority for AI, machine learning, and advanced analytics. * Mentor engineers, scientists, and technical teams in AI technologies, architecture, and ...

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Showing results 41-60

All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Arizona

Machine Learning Architect information

See Arizona salary details

$43.3K

$120K

$187.8K

How much do machine learning architect jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning architect in Arizona is $119,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are popular job titles related to Machine Learning Architect jobs in Arizona?

For Machine Learning Architect jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Arizona look for?

The top searched job categories for Machine Learning Architect jobs in Arizona are:

Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,986 per year, or $57.7 per hour.

Senior Solutions Data Architect

IntraEdge

Scottsdale, AZ • On-site

$68.75 - $91.75/hr

Full-time

Re-posted yesterday

Job description

Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as well as hands-on technical expertise in designing and building analytics solutions that support enterprise decision support, strategic insights and data science initiatives. In partnership with Enterprise Architecture and IT Engineering teams, this role will drive the company's
 analytics technology roadmap, aligning information assets and analytics capabilities to achieve business objectives of strategic initiatives, programs and projects leveraging the powerful capabilities of a modern analytics platform.
 
Essential Duties and Responsibilities:
  • Drives the company's  enterprise analytics architecture to support enterprise insights and decision-making architecture leveraging established architecture disciplines.
  • Leverages knowledge of the organization's information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized analytics platform.
  • Define strategies to operationalize analytics supporting capabilities in discovery, analysis, and reporting across business segments.
  • Analyze, shape, and prioritize data and analytics technologies to business capabilities aligning to current requirements along with future needs without significant rework.
  • Perform hands-on solution design, solution architectures, architecture roadmaps, prototyping, proof-of-concepts, and development tasks as required in support of projects and products as requested.
  • Develops SQL queries to extensively to research, understand and relate distributed data repositories across enterprise.
  • Develops and documents data models; ensuring that data is defined and searchable; collaborates with various users across the organization to capture output/ process changes and revise data models.
  • Supports Data Science team in the approach to implement advanced analytical models and supporting data pipelines as well and developing the strategies and approaches for Analytics as a Service.
  • Ensures accurate documentation of data assets; identifies critical gaps in information domain through a combination of workshops, interviews and internal analysis of various documentation.
  • Partners effectively with MDM (Master Data Management), Data SMEs and other stakeholders (Sponsors, Product solutions architects etc.) to design solutions, including identifying and filling critical gaps.
  • Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions.
  • Plan, design, and monitor these security, usability and stability of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.
  • Act as a liaison between Technical team, Functional team, Business Functions, and System Integrators to drive architecture solutions.
  • Document and proficiently explain complex architectures to technical and functional peers and-as needed--to other levels of the organization.
  • Ability to support: translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems, and estimation of the financial impact of solution architecture alternatives.
  • Work with other product team(s) to define data dictionary, data lineage and relationship metrics.
  • Stays current on the latest technologies, trends and strategies.
Other duties as assigned.

Qualifications:
  • This position requires a minimum of eight years of progressive analytics architecture experience.
  • This position requires a minimum of five years of experience with business process design and improvement.
  • Experience in developing integrated solutions involving process, data, and technology.
  • Strong conceptual, strategic thinking, problem solving, technical, and analytical skills
  • Corporate retail experience is preferred including, but not limited to, data handling in a cloud-based environment, data governance, data quality and in database management and operations.
  • Proven understanding of end-to-end flows and processes of enterprise data.
  • Proven ability to collaborate with data SMEs and developers across the organization.
  • Hands-on / In-depth experience in following tools, technologies & Concepts such as, SQL (advanced level), Data management, Master Data Management (preferred customer data focus), Business Intelligence, SOA, Microservices and Content Management.
  • Hands on experience in data profiling, data extraction and data validation.
  • Understanding of Data Science methodologies/concepts including general statistical concepts, machine learning, feature engineering and artificial intelligence.
  • Demonstrated experience of metadata concepts including but not limited to items collection, repositories, technical and/or business content and data lineage.
  • Experience in creating logical and physical data models are required. Understanding of Kimball's methodology is required.
  • Experience working with data lake(s) and understanding of various frameworks and methodologies used around Hadoop or Hadoop like systems.
  • Experience working in mission critical ODS and Enterprise Data Warehouse environments.
  • Experience with AWS frameworks, data tools and environment.
  • Understanding of data architecture practices and governance methodologies.
  • Proficiency with Microsoft Office, including skills with Word, Excel, SharePoint, PowerPoint, and Visio is required.
  • Proven understanding of project management and the software development lifecycle is required.
  • Demonstrated business acumen with knowledge and understanding of business issues, priorities, goals, and strategy is necessary.
  • Demonstrated ability to communicate across all levels of the organization, presenting complex ideas concisely and clearly articulate ideas verbally and in writing is necessary.
  • Proven ability to work efficiently and accurately under pressure, meet deadlines and present a professional demeanor is essential.
  • Customer service skills, including the ability to manage and respond to different customer situations while maintaining a positive and friendly attitude are essential.
  • In addition, organizational and problem-solving skills, a can-do attitude, and the ability to adjust to changing requirements are essential.
Educational Requirements:
This position requires a Bachelor's Degree in information technology, Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related field, or equivalent work experience.
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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