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Gen Ai Engineer Jobs in Arizona (NOW HIRING)

OmegaHires

Gen AI Engineer with Python

Phoenix, AZ · On-site

Gen AI Engineer with Python We are looking for a Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

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 ...

IntraEdge

Gen AI Engineer II

Phoenix, AZ · On-site

$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 ...

IntraEdge

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 ...

EQL Tech

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

Helping them access these funds is Step 1 in the journey to build the next-gen education system ... AI Engineer As AI Engineer, you will work directly under the Head of AI -- a researcher with ...

EQL Tech

AI Engineer

San Francisco, CA · On-site

$125K - $175K/yr

Helping them access these funds is Step 1 in the journey to build the next-gen education system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

EQL Tech

AI Engineer

Phoenix, AZ

$125K - $175K/yr

Helping them access these funds is Step 1 in the journey to build the next-gen education system ... AI Engineer As AI Engineer, you will work directly under the Head of AI - a researcher with ...

Deloitte

Oracle Gen AI Manager

Tempe, AZ

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 ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Experience and knowledge in the most recent advancements in Gen AI including Gemini OpenAI Claud ...

Jobtailor

Senior Developer - Generative AI

Phoenix, AZ · On-site

$140 - $190/hr

... other developers * Participate in client discovery, architecture, testing, deployment, and ... Experience integrating Gemini models using Vertex AI or Google Gen AI SDKs * Experience with Agent ...

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All JobsGen Ai Engineer JobsGen Ai Engineer Jobs in Arizona

Gen Ai Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do gen ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for gen ai engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

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

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

What are popular job titles related to Gen Ai Engineer jobs in Arizona?

For Gen Ai Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Gen Ai Engineer jobs in Arizona look for?

The top searched job categories for Gen Ai Engineer jobs in Arizona are:

What cities in Arizona are hiring for Gen Ai Engineer jobs?

Cities in Arizona with the most Gen Ai Engineer job openings:

Gen Ai Engineer jobs near you
Infographic showing various Gen Ai Engineer 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 $104,028 per year, or $50 per hour.

Gen AI Engineer with Python

OmegaHires

Phoenix, AZ • On-site

Contractor

Posted 8 days ago

Job description

Gen AI Engineer with Python
Job Description:We are looking for a Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI solutions. The ideal candidate will have hands-on experience in preparing and engineering enterprise data for AI use cases, building scalable RAG pipelines, implementing autonomous AI agents, and integrating Large Language Models (LLMs) into production environments.
This is a hands-on technical leadership role requiring deep knowledge of AI architecture, data preparation, prompt engineering, vector databases, and modern AI frameworks.
Required Skills
8+ years of software development experience with Python.
3+ years of hands-on experience delivering Generative AI solutions.
Strong expertise in Retrieval-Augmented Generation (RAG) architecture and implementation.
Hands-on experience building Agentic AI solutions using LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or Semantic Kernel.
Experience preparing, processing, and engineering structured and unstructured enterprise data for AI use cases.
Strong understanding of document ingestion, chunking strategies, embeddings, metadata enrichment, and vector search.
Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
Experience integrating LLMs including OpenAI, Azure OpenAI, Gemini, Claude, Llama, or Mistral.
Strong knowledge of Prompt Engineering, AI orchestration, and tool/function calling.
Experience developing APIs using FastAPI, Flask, or Django.
Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).
Preferred Skills
Experience with AI evaluation frameworks, observability, and LLMOps.
Knowledge of MLOps and AI model deployment.
Experience with Databricks, Snowflake, or enterprise data platforms.
Familiarity with knowledge graphs and enterprise search solutions.

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