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Machine Learning Architect Jobs in Arizona (NOW HIRING)

... architecture Required Qualifications: 10+ years of experience in software development, with a focus on AI and machine learning Proven experience architecting and implementing internal-facing AI ...

Architect

Phoenix, AZ

$63 - $83/hr

... machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. • Experience in working with large and complex data sets, and using cloud platforms ...

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services, and associated platform capabilities Lead technical teams through solution design, model development ...

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

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

AWS Machine Learning Specialty * Terraform Associate * Experience in regulated industries. * Experience designing AI systems under compliance constraints. Core Competencies * Strategic Architecture ...

Data/Information Architect

Tempe, AZ · On-site

$61 - $78.50/hr

Managing and mentoring architecture talent in the respective sector * Should have delivered ... Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker ...

Data/Information Architect

Tempe, AZ

$61 - $78.50/hr

Managing and mentoring architecture talent in the respective sector * Should have delivered ... Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker ...

12-12-R-Solution Architect - 9150

Phoenix, AZ · On-site

$63.25 - $81.50/hr

This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and ...

Architect, design, and lead implementation of novel analytic methods and machine learning solutions for cybersecurity defense purposes, including anomaly detection, threat classification, and ...

Solution Architect (21211)

Phoenix, AZ · On-site

$58.25 - $76.50/hr

Develop architecture and frameworks to support AI and machine learning initiatives, including data preparation, model integration, and deployment pipelines. * Define cloud guardrails and best ...

Google AI Lead Architect

Tempe, AZ · On-site

$53.75 - $73.75/hr

Deloitte is seeking a Google AI Lead Architect to join their AI & Engineering team, focusing on ... Preferred : • Google Professional Machine Learning Engineer certification or the equivalent ML ...

Solution Architect (21211)

Phoenix, AZ

$58.25 - $76.50/hr

Develop architecture and frameworks to support AI and machine learning initiatives, including data preparation, model integration, and deployment pipelines. * Define cloud guardrails and best ...

Enterprise Architect

Phoenix, AZ · Remote

$65.25 - $84.25/hr

... machine learning, and enterprise data platforms. This role is part of Banner's Enterprise Architecture organization and is responsible for establishing the strategic architecture, standards, and ...

Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML) integrations, evaluating where these technologies can drive business value and enhance user ...

Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML) integrations, evaluating where these technologies can drive business value and enhance user ...

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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.
GenAI with Chatbot

GenAI with Chatbot

Donato Technologies, Inc

Phoenix, AZ • On-site

Other

Posted 7 hours ago


Job description

GenAI with Chatbot
Phoenix, Arizona
Job description

We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.

Key Responsibilities:

Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies

Develop proof-of-concepts and prototypes to validate architectural decisions

Lead the integration of the chatbot with internal systems, databases, and APIs

Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives

Implement best practices for AI model deployment, monitoring, and continuous improvement

Provide technical leadership and mentorship to the development team

Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture

Required Qualifications:

10+ years of experience in software development, with a focus on AI and machine learning

Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo

Strong hands-on experience with Python, LLMs, and Generative AI technologies

Deep understanding of natural language processing, sentiment analysis, and text generation techniques

Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling

Experience with MLOps practices and tools for model lifecycle management

Strong problem-solving skills and ability to translate complex business requirements into technical solutions

Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders

Skills
Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Cognitive Services SECONDARY SKILL : Web Frameworks for Python (Flask & Django) SECONDARY SKILL PERCENTAGE : 40