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Prompt Engineer Jobs in Arizona (NOW HIRING)

Python Developer

Phoenix, AZ ยท On-site

$50 - $68.75/hr

Experience with LLMs, Generative AI, Prompt Engineering, RAG, AI Agents, and cloudโ€‘based AI platforms is highly desirable. The successful candidate will work closely with technical and business ...

Python Developer

Phoenix, AZ ยท On-site

$120K - $130K/yr

Experience with LLMs, Generative AI, Prompt Engineering, RAG, AI Agents, and cloud-based AI platforms is highly desirable. The successful candidate will work closely with technical and business ...

Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows. * Ensure solutions meet performance, security, and compliance standards (data privacy ...

Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts. * Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks. * Conceptual ...

Engineer II Premium

Phoenix, AZ ยท On-site

$82K - $110K/yr

... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing - Tokenization and embedding models - Model ...

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ ยท On-site

$128K - $176K/yr

You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure our models produce high-quality, context-aware responses. Responsibilities: * Lead the fine-tuning ...

Engineer II Premium

Phoenix, AZ ยท On-site

$97K - $133K/yr

... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing - Tokenization and embedding models - Model ...

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ ยท On-site

$103K - $142K/yr

You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure our models produce high-quality, context-aware responses. Responsibilities * Lead the fine-tuning ...

Key Responsibilities โ€ข Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks. โ€ข Translate business, Information Security ...

New

Ai Engineer

Phoenix, AZ ยท On-site

$60 - $65/hr

Key Responsibilities โ€ข Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks. โ€ข Translate business, Information Security ...

New

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ ยท On-site

$128K - $176K/yr

You will use advanced techniques like prompt engineering, RLHF, and instruction tuning to ensure our models produce high-quality, context-aware responses. Responsibilities: * Lead the fine-tuning ...

Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server within the Grafana ecosystem ...

Prompt engineering alone is not enough. * GCP (Vertex AI, Cloud Run, BigQuery, and related services) and infrastructure-as-code with Terraform, Terragrunt, or OpenTofu. * Modern application ...

Showing results 21-40

Prompt Engineer information

See Arizona salary details

$9

$43

$81

How much do prompt engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for prompt engineer in Arizona is $43.88, according to ZipRecruiter salary data. Most workers in this role earn between $33.37 and $56.68 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

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

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

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

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

What cities in Arizona are hiring for Prompt Engineer jobs?

Cities in Arizona with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Arizona as of August 2026, with employment types broken down into 6% Internship, 77% Full Time, 11% Part Time, and 6% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $91,269 per year, or $43.9 per hour.

AI Quality Engineer Lead

Phoenix, AZ โ€ข On-site

$71K - $92K/yr

Other

Posted 11 days ago


Job description

Role: AI Quality Engineer Lead 

Role: Onsite, Phoenix, AZ

This role will own the end-to-end quality strategy for AI Marketplace solutions, including QE agent development, AI validation, workflow orchestration, and platform integration. Define standards for AI testing, observability, security, and performance while enabling rapid adoption of reusable QE agents across projects. Provide technical leadership and mentorship to engineering teams building and deploying agentic solutions.

 

Competency Area

Technical Expectations

Agentic AI Architecture

Understanding of AI agents, multi-agent workflows, MCP (Model Context Protocol), orchestration frameworks, tool calling, memory management, RAG patterns, and agent lifecycle management.

AI/LLM Validation & Assurance

Ability to define and implement testing strategies for AI systems including hallucination detection, response quality evaluation, guardrail testing, prompt validation, grounding verification, and reliability testing.

QE Automation Engineering

Strong hands-on experience with Playwright, Selenium, API automation, test frameworks, CI/CD integration, test data management, and automation architecture.

Agent Development & Customization

Ability to configure, extend, and customize agents for project-specific workflows, enterprise tools, APIs, business rules, and testing use cases.

AI Observability & Monitoring

Knowledge of agent telemetry, trace analysis, execution monitoring, prompt/response tracking, drift detection, performance analytics, and operational dashboards.

Cloud & Platform Engineering

Working knowledge of Azure AI, AWS Bedrock, OpenAI, Databricks, Kubernetes, containers, APIs, security integrations, and enterprise deployment patterns.

Data & API Engineering

Strong understanding of API contracts, service orchestration, structured/unstructured data, vector databases, embeddings, and data validation techniques.

Responsible AI & Governance

Experience validating security, privacy, compliance, explainability, bias detection, human-in-the-loop controls, and enterprise guardrails for AI agents.

Performance & Scalability Testing

Ability to validate agent response latency, concurrency, token consumption, workflow scalability, resiliency, and failover behavior.

Solution Architecture & Consulting

Capability to translate business use cases into agentic solutions, define reusable marketplace assets, establish standards, and mentor engineering teams.

Ideal Skill Profile

Must Have

  • Agentic AI / LLM fundamentals
  • Playwright or modern automation framework
  • API testing and integration
  • AI testing and validation
  • Azure AI/OpenAI ecosystem
  • Strong QE architecture background

Good to Have

  • LangChain / LangGraph
  • AutoGen / CrewAI / Semantic Kernel
  • Vector databases
  • MCP-based architectures
  • Kubernetes & containers
  • Prompt engineering