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Generative Ai Architect Jobs in Arizona (NOW HIRING)

AI Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Strong experience with Generative AI / LLMs , including OpenAI, Azure OpenAI, or similar technologies. * Expertise in application architecture, system design, and scalable solution architecture

AI Architect

Phoenix, AZ · On-site

$60 - $68/hr

Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) * Expertise in application architecture and system design * Experience in: * Cloud platforms (Azure/AWS/GCP) * REST APIs, microservices, and ...

SVP AI Enterprise Architect

Tempe, AZ · On-site

$137K - $240K/yr

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 ...

Generative AI Strategist

Phoenix, AZ · On-site

$120K - $155K/yr

... solutions architects, business development, marketing, and industry specialists to foster ... Proven experience in strategizing and implementing generative AI solutions in a business context.

AI Transformation Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

AI Transformation Architects will act as the company's most technically fluent business consultant ... LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Create architecture diagrams, technical designs, API specifications, deployment guides, and ... Hands-on experience building Generative AI or agentic applications * Experience with Google Agent ...

AI Transformation Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

AI Transformation Architects will act as the company's most technically fluent business consultant ... LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in ...

AI Transformation Architects will act as the company's most technically fluent business consultant ... LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in ...

The Enterprise Architect will play a critical role in transforming local, legacy, datadriven ... Familiarity with Generative AI concepts , AI platforms, and enterprise adoption considerations ...

The Enterprise Architect will play a critical role in transforming local, legacy, datadriven ... Familiarity with Generative AI concepts , AI platforms, and enterprise adoption considerations ...

The Enterprise Architect will play a critical role in transforming local, legacy, datadriven ... Familiarity with Generative AI concepts , AI platforms, and enterprise adoption considerations ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

The ideal candidate brings hands-on experience building production-grade Generative AI and agentic ... The architect will work closely with business stakeholders, AI engineers, cloud platforms ...

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The Enterprise Architect will play a critical role in transforming local, legacy, datadriven ... Familiarity with Generative AI concepts , AI platforms, and enterprise adoption considerations ...

The Enterprise Architect will play a critical role in transforming local, legacy, datadriven ... Familiarity with Generative AI concepts , AI platforms, and enterprise adoption considerations ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

The ideal candidate brings hands-on experience building production-grade Generative AI and agentic ... The architect will work closely with business stakeholders, AI engineers, cloud platforms ...

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Generative Ai Architect information

See Arizona salary details

$43.3K

$120K

$187.8K

How much do generative ai architect jobs pay per year?

As of Aug 29, 2026, the average yearly pay for generative ai 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 are the main challenges a Generative AI Architect faces when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What are the key skills and qualifications needed to thrive as a Generative AI Architect?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

What is the difference between Generative Ai Architect vs Data Scientist?

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

How to become a generative AI architect?

To become a generative AI architect, one should have a strong background in computer science, machine learning, and deep learning, with experience in neural network models such as transformers and GANs. Proficiency in programming languages like Python, familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of data preprocessing are essential. Gaining certifications in AI or machine learning and working on relevant projects can also enhance qualifications for this role.

What are popular job titles related to Generative Ai Architect jobs in Arizona?

For Generative Ai Architect jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Generative Ai Architect jobs?

Cities in Arizona with the most Generative Ai Architect job openings:

Infographic showing various Generative Ai Architect job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $119,986 per year, or $57.7 per hour.

$62.50 - $82.50/hr

Other

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Job description

Job Title :: AI Architect

Job Location :: Phoenix, AZ (Onsite)

Description:

AgreeYa is a global Systems Integrator and is seeking an experienced AI Architect to join our growing team. In this role, you will be responsible for designing and implementing AI-driven solutions, architecting scalable applications, integrating Generative AI capabilities, and driving the adoption of AI technologies across the software development lifecycle. You will collaborate with product, data, business, and engineering teams to translate business requirements into innovative technical solutions while providing technical leadership and guidance on AI capabilities.

Required Skills

  • Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

  • Strong experience with Generative AI / LLMs, including OpenAI, Azure OpenAI, or similar technologies.

  • Expertise in application architecture, system design, and scalable solution architecture.

  • Experience with Azure, AWS, or Google Cloud Platform (Google Cloud Platform).

  • Strong knowledge of REST APIs, microservices, and distributed systems.

  • Understanding of data engineering, APIs, and enterprise system integration.

  • Experience with AI pipelines, model deployment, monitoring, and lifecycle management.

  • Ability to evaluate and apply AI tools and frameworks across the application development lifecycle.

  • Strong problem-solving and analytical skills with the ability to translate complex business requirements into technical solutions.

  • Excellent communication and stakeholder management skills.

  • Experience providing technical leadership and guiding cross-functional teams.

Preferred Skills

  • Experience implementing AI solutions in enterprise applications.

  • Exposure to DevOps / MLOps practices and methodologies.

  • Knowledge of Responsible AI, AI governance, security, and compliance principles.

  • Experience driving the adoption of AI-enabled development tools and frameworks.

  • Experience providing training and technical guidance on AI capabilities and emerging technologies.

  • Prior experience working in a Technical Lead or Architect role.

  • Strong leadership skills with the ability to collaborate effectively across product, data, business, and engineering teams.

Education

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical discipline.

  • Equivalent combination of education and relevant professional experience will also be considered.

AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at for more information.

AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics. Visit our website to learn about our Career & Culture.