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Ai Prompt Engineer Jobs in Arizona (NOW HIRING)

Synergie Systems

Junior AI Engineer

Phoenix, AZ · On-site

Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · Generative AI / LLMs · Prompt engineering and LLM evaluation · RAG and vector databases · REST APIs ...

Omega Hires

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person ... Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation * Develop ... Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval ...

Deloitte

Google AI Architect

Tempe, AZ

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

Entertainment Partners

AI Engineer

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Implement prompt engineering strategies, few-shot templates, chain-of-thought scaffolding, and structured output validation. * Apply and maintain EP's AI quality engineering (QE) standards including ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Implement prompt engineering strategies, few-shot templates, chain-of-thought scaffolding, and structured output validation. * Apply and maintain EP's AI quality engineering (QE) standards including ...

Deloitte

Google AI Architect

Gilbert, AZ

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

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Showing results 21-40

All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Arizona

Ai Prompt Engineer information

See Arizona salary details

$23

$49

$71

How much do ai prompt engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai prompt engineer in Arizona is $49.98, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $58.03 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

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

The most popular types of Ai Prompt Engineer jobs in Arizona are:

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

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

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

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

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

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

Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Arizona as of August 2026, with employment types broken down into 5% Internship, 70% Full Time, 10% Part Time, and 15% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $103,954 per year, or $50 per hour.

Junior AI Engineer

Synergie Systems

Phoenix, AZ • On-site

Other

Posted 4 days ago

Job description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts

Apply