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Ai Solutions Developer Jobs in Arizona (NOW HIRING)

IntraEdge

Architect

Phoenix, AZ · On-site

$63 - $83/hr

You will work with a multidisciplinary team of experts, including data scientists, engineers, analysts, and business stakeholders, to deliver AI solutions that are scalable, reliable, and ethical.

BTree Solutions, Inc.

AI MANAGER

Vail, AZ · On-site

Directs team members in applying AI/ML techniques, LLM integrations, API development, and software engineering best practices to deliver reliable, scalable campus solutions Team Leadership ...

NOAO

Principal AI Engineer

Tucson, AZ · On-site

You will identify and prioritize high-impact AI opportunities, build enterprise-scale AI capabilities, and deliver innovative solutions that accelerate scientific discovery, increase engineering ...

NSF's NOIRLab

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

You will identify and prioritize high-impact AI opportunities, build enterprise-scale AI capabilities, and deliver innovative solutions that accelerate scientific discovery, increase engineering ...

Deloitte

Agentic AI Engineer - Anthropic/Claude

Tempe, AZ · On-site

$99K - $134K/yr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... These solutions are powered by engineering for business advantage, transforming mission-critical ...

Dialpad

AI Transformation Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Translate ambiguous business objectives into clear, Agentic AI solutions. * The Go-To-Market Bridge: Partner directly with our Sales, Sales Engineers, Professional Services, and Customer Success ...

AURA

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

You will identify and prioritize high-impact AI opportunities, build enterprise-scale AI capabilities, and deliver innovative solutions that accelerate scientific discovery, increase engineering ...

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How much do ai solutions developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai solutions developer in Arizona is $52.82, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $62.74 per hour, depending on experience, location, and employer.

What cities in Arizona are hiring for Ai Solutions Developer jobs?

Cities in Arizona with the most Ai Solutions Developer job openings:

Ai Solutions Developer jobs near you
Infographic showing various Ai Solutions Developer job openings in Arizona as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $109,858 per year, or $52.8 per hour.

Generative AI Automation Engineer - Remote Job

Glendale, AZ • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 23 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply