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Gen Ai Developer Jobs in Arizona (NOW HIRING)

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Typescript and Python, Gen AI, Agentic AI Experience Required - 6+ Years Role Overview: Design ... Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud ...

Architect and deliver Gen AI solutions using Microsoft Foundry and Azure AI Studio, including RAG pipelines, prompt engineering, model selection and evaluation, grounding on enterprise data, fine ...

Gen AI Engineer II

Phoenix, AZ

$97K - $133K/yr

We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative AI capabilities to enhance software development workflows, improve productivity, and drive ...

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field Hands-on experience in building and deploying AI/ML models, focusing on Generative AI ...

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

Oracle AI Developer

Phoenix, AZ · On-site

$56 - $69.75/hr

Experience developing Oracle Integration Cloud (Gen 3 preferred) integrations using file-based, app ... Indexes, Semantic Search, Select AI and RAG. * Strong understanding of prompt engineering ...

Oracle AI Developer

Phoenix, AZ · On-site

$53.25 - $66.25/hr

Experience developing Oracle Integration Cloud (Gen 3 preferred) integrations using file-based, app ... Indexes, Semantic Search, Select AI and RAG. * Strong understanding of prompt engineering ...

Oracle AI Developer

Phoenix, AZ · On-site

$53.25 - $66.25/hr

Experience developing Oracle Integration Cloud (Gen 3 preferred) integrations using file-based, app ... Indexes, Semantic Search, Select AI and RAG. * Strong understanding of prompt engineering ...

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Gen Ai Developer information

See Arizona salary details

$17

$42

$94

How much do gen ai developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for gen ai developer in Arizona is $42.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

What is a Gen AI Developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

What are the key skills and qualifications needed to thrive as a Gen AI Developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI Developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What job categories do people searching Gen Ai Developer jobs in Arizona look for? The top searched job categories for Gen Ai Developer jobs in Arizona are:
What cities in Arizona are hiring for Gen Ai Developer jobs? Cities in Arizona with the most Gen Ai Developer job openings:
Infographic showing various Gen Ai Developer job openings in Arizona as of July 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $87,783 per year, or $42.2 per hour.

Gen AI Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 23 days ago


Job description

Job Title – Gen AI Engineer
Location – Phoenix, AZ
Duration: 12+ Months  
Interview Mode – In-Person Interview
 
Tech Stack – AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker & Kubernetes, Fast API
 
Responsibilities
* Design, build and rollout scalable AI and Agentic systems that would result in operational efficiencies, superior customer experiences, and increased adherence to compliance practices
* Develop intelligent, autonomous workflows that can reason over context, leverage enterprise data, invoke tools, and support decision-making for use cases identified
* Design, build and rollout production-grade AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, ensuring high standards of accuracy, reliability, and auditability
* Understand data, data products and build and operationalize large-scale data pipelines
* Drive AI-enabled monitoring, quality assessment, and governance capabilities through automation and advanced analytics to improve operational efficiency and consistency
* Own end-to-end technical delivery, from problem formulation and prototyping to production deployment, monitoring, and continuous optimization
* Collaborate closely with product, engineering, and business stakeholders to translate complex business problems into impactful AI solutions
* Ensure all AI systems adhere to enterprise standards for security, compliance, Explainability, and responsible AI practices
* Provide technical support for the GenAI and Agentic AI tools and services
 
Qualifications
* 6+ years of experience in software engineering, machine learning or GenAI, with production-grade system development experience
* Expertise in building GenAI, Agentic AI systems, including orchestration, tool usage, memory/state management, and evaluation frameworks
* Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring)
* Strong programming skills in Python and experience building Fast APIs, backend services and components, CI/CD and data pipelines
* Experience working with modern AI frameworks like LangChain, LangGraph
* Solid understanding of DB concepts, SQL, BigQuery and experience working in Relational and NoSQL DBs
* Solid understanding of distributed systems, event-driven architectures, and large-scale data processing
* Ability to understand and review code in various languages (Java, Go, Scala)
* Strong analytical, logical reasoning, problem-solving skills with the ability to translate business needs into technical solutions
* Ability to operate in a fast-paced, collaborative environment with a strong sense of ownership and accountability