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Machine Learning Architect Jobs in Arizona (NOW HIRING)

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Machine Learning Engineer Location: Phoenix, AZ (Onsite) Required Skills Machine Learning, Python ... architecture Advanced Python programming experience; Java knowledge is a plus Experience ...

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Ability to explain research results, architectural decisions, and trade-offs to both technical and ...

New

AI Solutions Architect

Tempe, AZ

$60.25 - $79.50/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... Collaborating with architects, engineers, data scientists, and business stakeholders to align ...

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

Responsibilities : • Provide input, guidance, and expertise on generative AI and machine learning ... Architecture Review Boards Qualifications : Required : • Advanced degree (Master's or PhD) in AI ...

Snowflake Architect

Scottsdale, AZ · On-site

$64.25 - $82.50/hr

Must Have Technical/Functional Skills The Snowflake Architect will lead the design, development ... Machine Learning: * Strong experience creating and tuning machine learning models in Azure and ...

Lead Security Architect

Phoenix, AZ · Remote

$64.50 - $83.50/hr

Support enterprise initiatives involving AI, Machine Learning, and cloud-native technologies Required Technical Skills Enterprise Security Architecture Enterprise Security Reviews Security ...

Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in regulated industries. * Strong enterprise architecture background and ability to align AI solutions with ...

Data scientists and machine learning engineers * UX designers and product leadership * Enterprise platform, security, and infrastructure teams * Establish architectural patterns, standards, and best ...

Data scientists and machine learning engineers * UX designers and product leadership * Enterprise platform, security, and infrastructure teams * Establish architectural patterns, standards, and best ...

Software Architect Location: Phoenix, Arizona Department: Building Technology Solutions Reports To ... You will work closely with engineering, data, machine learning, product, and UX to ensure the ...

Lead Business Transformation Architect

Tempe, AZ · On-site

$53 - $72.50/hr

Translating business needs into artificial intelligence and machine learning roadmaps and scalable cloud architecture designs * Leading the design, deployment, and integration of artificial ...

Tableau Architect * Bigdata - Hive, Pig, MapR, Spark. * ETL - Datastage, Unix Scripting ... Machine Learning - Scala, Python possess strong AMEX domain expertise. Qualifications * Bachelor ...

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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 Jun 18, 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 typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a machine learning architect do?

A machine learning architect designs and develops machine learning systems and infrastructure to solve complex problems. They evaluate data, select appropriate algorithms, and oversee model deployment, often using tools like Python, TensorFlow, or cloud platforms. Strong programming skills and understanding of data architecture are essential for this role.

What is the salary of an ML 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 with advanced skills in deep learning, data engineering, and cloud platforms can earn higher compensation, often exceeding $180,000.

Which 5 jobs will survive AI?

Machine Learning Architects are likely to continue to be in demand as they design and oversee AI systems, requiring expertise in algorithms, data modeling, and programming. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and creative designers—are also expected to persist despite AI advancements. These jobs typically require specialized skills, critical thinking, and emotional intelligence that AI cannot easily replicate.

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 are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

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.

Is ML a high paying job?

Machine Learning Architect roles are generally high-paying due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.
Infographic showing various Machine Learning Architect job openings in Arizona as of June 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 83% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $119,986 per year, or $57.7 per hour.

$55.25 - $73.25/hr

Other

Posted 26 days ago


Job description

Machine Learning Engineer

Location: Phoenix, AZ (Onsite)

Required Skills

Machine Learning, Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD

Job Description

We are looking for a strong Machine Learning Engineer with hands-on experience in developing, deploying, and optimizing ML models in enterprise environments. The ideal candidate should have expertise in Classical Machine Learning, NLP, Python development, and scalable data processing systems.

Required Qualifications

Bachelor s or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field

Hands-on experience building and deploying Machine Learning models including Classical ML and NLP solutions

Strong understanding of ML algorithms, frameworks, libraries, and software architecture

Advanced Python programming experience; Java knowledge is a plus

Experience integrating ML models into existing applications in both batch and real-time environments

Strong SQL skills with experience writing complex queries and optimizing data pipelines

Experience with NoSQL databases is a plus

Familiarity with Big Data technologies such as Spark, PySpark, Hive, MapReduce

Working knowledge of UNIX/Linux commands

Experience using GitHub and CI/CD pipelines

Strong analytical, problem-solving, and communication skills

Experience with AI/ML governance in regulated industries is a plus

Preferred Experience

NLP model development

Enterprise-scale ML deployments

Real-time inference/API integrations

Financial services or highly regulated industry background