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Generative Ai Engineer Jobs in Arizona (NOW HIRING)

Stantec

Generative AI Developer

Phoenix, AZ · On-site

Stantec is a company dedicated to creating a caring culture where everyone can thrive, seeking a Generative AI Developer to enhance their Digital Center of Excellence. This role involves designing ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Rubin Obs

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

New

Teaching with Telescopes

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Assess and implement emerging technologies, including generative AI, foundation models, LLMs, AI ... Mentor engineers, scientists, and technical teams in AI technologies, architecture, and responsible ...

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Generative Ai Engineer information

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$35.4K

$108K

$178.5K

How much do generative ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for generative ai engineer in Arizona is $107,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Arizona? The most popular types of Generative Ai Engineer jobs in Arizona are:
What are popular job titles related to Generative Ai Engineer jobs in Arizona? For Generative Ai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Arizona look for? The top searched job categories for Generative Ai Engineer jobs in Arizona are:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $107,973 per year, or $51.9 per hour.

Generative AI Developer

Stantec

Phoenix, AZ • On-site

Full-time

Re-posted 5 days ago

Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

112th of 441 rated engineering

Job description

Job Summary:
Stantec is a company dedicated to creating a caring culture where everyone can thrive, seeking a Generative AI Developer to enhance their Digital Center of Excellence. This role involves designing and deploying generative AI solutions, collaborating with various teams to ensure the solutions are scalable, secure, and compliant with governance principles.
Responsibilities:
• Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
• Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
• Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
• Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
• Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
• Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
• Document architectural patterns, methodologies, and lessons learned.
• Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
• Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
• Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.
Qualifications:
Required:
• Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
• Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
• Familiarity with security, privacy, and governance practices for enterprise AI solutions.
• Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
• Experience partnering across disciplines in agile delivery environments.
• Understanding application deployment, hosting, and scaling within Azure.
• Master’s degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
• Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry.
Preferred:
• Experience developing AI agents in Microsoft Copilot Studio is highly preferred.
Company:
Stantec is a professional services company that provides engineering, architecture, design, and consulting services. Founded in 1954, the company is headquartered in Edmonton, CAN, with a team of 10001+ employees. The company is currently Late Stage.

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