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Python Ai Jobs in Arizona (NOW HIRING)

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

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 ...

Place

AI Full-Stack Engineer

Scottsdale, AZ · On-site

We build AI-powered products that make a real impact, from automating marketing workflows to ... We primarily work with JavaScript (Node.js) and a bit of Python, so familiarity with these ...

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Photon

AI Developer (Platform + Backend)

Tempe, AZ

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 ...

Photon

AI Architect_Tempe,AZ

Anthem, AZ · Remote

Architect and oversee backend services and APIs using Python and FastAPI. * Drive implementation of agentic AI capabilities, workflow orchestration, and intelligent automation. * Architect enterprise ...

Photon

AI Architect_Tempe,AZ

Anthem, AZ · On-site

Architect and oversee backend services and APIs using Python and FastAPI. * Drive implementation of agentic AI capabilities, workflow orchestration, and intelligent automation. * Architect enterprise ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

AI, AWS, Typescript, Javascript, Python, GO LangGraph, LangChain, AirFlow The Role As a AI Engineer - Agentic AI, you will operate as a senior individual contributor within Technology, helping define ...

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How much do python ai jobs pay per hour?

As of Jun 18, 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.

Which 3 jobs will survive AI?

For a Python AI developer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist, such as AI research scientist, data scientist, and machine learning engineer. These jobs involve designing, interpreting, and improving AI systems, often requiring specialized knowledge, critical thinking, and domain expertise that are difficult for AI to fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. Such roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What is a Python AI job?

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 are the key skills and qualifications needed to thrive in the Python Ai position, and why are they important?

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.

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Python coders are still essential for designing, developing, and maintaining complex software systems. AI may augment programming work, but human expertise remains critical for problem-solving, creativity, and understanding project requirements.

What are the typical daily responsibilities of a Python AI professional?

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.

Can you do AI with Python?

Python AI refers to developing artificial intelligence applications using the Python programming language, which is widely used in the field due to its simplicity and extensive libraries like TensorFlow, PyTorch, and scikit-learn. AI development with Python involves tasks such as machine learning, deep learning, and data analysis, often requiring knowledge of algorithms, data structures, and programming skills. Many AI roles for Python developers focus on model building, data processing, and deploying AI solutions in various industries.
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Python Ai jobs near you
Infographic showing various Python Ai job openings in Arizona as of June 2026, with employment types broken down into 44% Full Time, 30% Part Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,627 per year, or $54.6 per hour.

Senior Python Backend Engineer

AIAEC LLC

Phoenix, AZ • On-site

Full-time

Posted 21 days ago

Be an early applicant

Job description

Description:

Why AIAEC?

You’ll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your architectural decisions directly impact how the built world is designed and constructed. If you enjoy solving "real-world" problems where code meets concrete, this is your spot.


As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be engineering the backbone that integrates complex engineering datasets with cutting-edge LLMs. You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient.


Key Responsibilities:


? API Architecture: Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI.

? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows.

? Infrastructure & DevOps: Own the lifecycle of your services—from containerization with Docker to orchestration and deployment within Azure.

? Observability: Implement robust monitoring and distributed tracing using OpenTelemetry to ensure high availability and deep system insights.

? Database Integration: Review and optimize queries in PostgreSQL to handle complex spatial and relational data.

? Technical Leadership: Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation).


Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL

Requirements:

Technical Requirements:


  • Python Expertise: 5+ years of professional experience with Python, with a deep understanding of asyncio and performance profiling.
  • Frameworks: Mastery of FastAPI (including Pydantic, Dependency Injection, and Middleware).
  • Containerization: Solid experience with Docker.
  • Cloud & DevOps: Solid experience managing cloud infrastructure. While our stack is Azure-centric, strong experience with AWS or GCP is highly transferable and welcomed.
  • Observability: Practical experience with OpenTelemetry, Prometheus, or similar tools for tracking system health and performance.
  • Modern Tooling: Familiarity with Git-based workflows, CI/CD pipelines (Azure DevOps or
  • GitHub Actions), and automated testing suites.

Nice to Haves:

  • Experience with OpenAI API, LangChain, or LlamaIndex.
  • Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration.
  • Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector).