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Python Ai Jobs in Arizona (NOW HIRING)

The AI Developer will be responsible for building scalable backend services using Python and FastAPI , integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across ...

The AI Developer will be responsible for building scalable backend services using Python and FastAPI , integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across ...

Apply AI-assisted development to code, testing, documentation, and workflow automation * Design and ... Python and SQL at production grade -- modular code, testing, error handling * Software engineering ...

You'll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your ... As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC ...

... Python - OpenSystem Technical Skills 3 Technology|Database Administration|PostGreSQL Technical ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

AI Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

Financial modeling, SQL, Python, AI tools, hypothesis testing, statistical analysis and forensic analysis * Design portfolio monitoring, processes, and controls for managing credit risk and ...

Showing results 41-60

Python Ai information

See Arizona salary details

$12

$54

$80

How much do python ai jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python ai in Arizona is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

Can you do AI with Python?

Python AI refers to roles involving the development and implementation of artificial intelligence using Python programming. These jobs typically require knowledge of machine learning libraries like TensorFlow or PyTorch, data analysis skills, and experience with algorithms. Python's simplicity and extensive ecosystem make it a popular choice for AI development in various industries.

What are the most commonly searched types of Python Ai jobs in Arizona?

The most popular types of Python Ai jobs in Arizona are:

Infographic showing various Python Ai job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $113,627 per year, or $54.6 per hour.

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ • On-site

Photon
IT Services • 1 - 10 employees

Full-time

Re-posted 16 days ago


Job description

Summary 

Photon is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform. 

The enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. 

The AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development. 

Responsibilities 

  • Design, develop, and maintain scalable backend services using Python and FastAPI. 

  • Build and integrate AI-powered services, APIs, and workflow orchestration components. 

  • Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations. 

  • Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities. 

  • Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows. 

  • Work with enterprise systems including HR, IT, identity, and operational platforms. 

  • Develop secure, scalable, and high-performance backend architectures. 

  • Implement asynchronous processing, event-driven communication, and API integrations. 

  • Collaborate with frontend, mobile, DevOps, product, and AI engineering teams. 

  • Support cloud-native deployments using containers and Kubernetes. 

  • Write clean, maintainable, and testable code with proper documentation and testing practices. 

  • Participate in code reviews, debugging, monitoring, and production support activities. 

  • Contribute to CI/CD pipelines, automated testing, and engineering best practices. 

  • Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis. 

Qualifications 

Need to Have 

  • 5+ years of experience in backend or platform engineering. 

  • Strong hands-on expertise in Python and FastAPI development. 

  • Experience building REST APIs, microservices, and backend integration services. 

  • Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications. 

  • Strong understanding of distributed systems and cloud-native application development. 

  • Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases. 

  • Knowledge of asynchronous programming and event-driven architectures. 

  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP. 

  • Strong understanding of API security, authentication, and authorization mechanisms. 

  • Familiarity with Git-based workflows and Agile development practices. 

  • Strong debugging, problem-solving, and communication skills. 

  • Experience with RAG pipelines, vector databases, and semantic search. 

Good to Have 

  • Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks. 

  • Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms. 

  • Familiarity with Flutter/mobile integrations and frontend-backend communication. 

  • Experience in QSR, retail, hospitality, or enterprise digital platforms. 

  • Exposure to workflow automation and enterprise orchestration systems. 

  • Experience with observability, monitoring, and logging tools. 

  • Understanding of AI governance, prompt engineering, and AI evaluation frameworks.