ZipRecruiter

Log In

1

Prompt Engineering Jobs in Arizona (NOW HIRING)

Infosys

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

... prompt engineering strategies to improve model performance and relevance. • Experience in integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML ...

Lorven Technologies

AI Engineering Leader

Tempe, AZ · On-site

$98K - $129K/yr

... prompt engineering techniques for reliability and performance Agentic AI & Evaluation Build and deploy multi-agent orchestration systems Develop and implement: Agent evaluation frameworks RAG ...

KUBRA

AI Engineer

Tempe, AZ · On-site

Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring. * Deliver AI-driven ...

KUBRA

AI Engineer

Tempe, AZ · Hybrid

Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring. * Deliver AI-driven ...

Infosys

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

... prompt engineering strategies to improve model performance and relevance. • Experience in integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML ...

KUBRA

AI Engineer

Tempe, AZ · Hybrid

Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring. * Deliver AI-driven ...

Onto

Manager, Software Engineering

Tucson, AZ

Establish prompt-engineering and AI pair-programming best practices; build internal playbooks for when and how AI tools are most effective on 4D's codebase. * Integrate AI-assisted code review into ...

Onto

Manager, Software Engineering

Tucson, AZ · On-site

Establish prompt-engineering and AI pair-programming best practices; build internal playbooks for when and how AI tools are most effective on 4D's codebase. * Integrate AI-assisted code review into ...

Canyon State Electric

AI Engineer

Tempe, AZ

Strong familiarity with generative AI models, prompt engineering, and workflow automation tools (Zapier, Power Automate, n8n, etc.). * Understanding of business operations, particularly in ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

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 ...

Redolent

AI/ML Engineer

Phoenix, AZ

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 ...

Diverse Lynx

Java Developer with AI

Phoenix, AZ

$65 - $70/hr

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

JDA

Sr Gen AI Engineer

Scottsdale, AZ

$87K - $140K/yr

Knowledge of prompt engineering and AI safety/alignment techniques * Document code, algorithms, and methodologies for reproducibility and knowledge sharing. * Stay current with the rapidly evolving ...

Virtual Teammate

AI Builder

Glendale, AZ · On-site +1

$7 - $8/hr

Work with data processing, prompt engineering, and model integra on * Develop AI-driven tools for internal or customer-facing use cases * Experiment with emerging AI technologies to improve products ...

next page

Showing results 1-20

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Arizona

Prompt Engineering information

See Arizona salary details

$30.3K

$58.7K

$89K

How much do prompt engineering jobs pay per year?

As of Jun 11, 2026, the average yearly pay for prompt engineering in Arizona is $58,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What jobs pay $2000 a day?

In the field of prompt engineering, high-paying roles such as AI consultant or senior AI specialist can potentially earn $2000 or more per day, especially for freelancers or contractors with specialized skills in large language models and prompt design. These positions often require extensive experience, advanced knowledge of AI tools, and a strong portfolio of successful projects.

What are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of natural language processing.

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 large organizations.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Which 3 jobs will survive AI?

Prompt engineering is a specialized role that involves designing effective prompts for AI systems, and it is expected to remain relevant as AI advances. Jobs requiring complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and mental health counselors—are also likely to persist because they involve skills that AI cannot easily replicate. Additionally, roles in AI oversight, ethics, and policy development will continue to be important to ensure responsible AI use.
What are the most commonly searched types of Prompt Engineering jobs in Arizona? The most popular types of Prompt Engineering jobs in Arizona are:
What are popular job titles related to Prompt Engineering jobs in Arizona? For Prompt Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering jobs in Arizona look for? The top searched job categories for Prompt Engineering jobs in Arizona are:
What cities in Arizona are hiring for Prompt Engineering jobs? Cities in Arizona with the most Prompt Engineering job openings:
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Arizona as of June 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,688 per year, or $28.2 per hour.
AI ML Engineer with LLM & AWS Integration

AI ML Engineer with LLM & AWS Integration

Infosys

Tempe, AZ • On-site

$101K - $136K/yr

Full-time

Posted 8 days ago

Infosys rating

7.5

Company rating: 7.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

97th of 204 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting. The AI ML Engineer role involves developing and fine-tuning machine learning models, particularly those involving LLMs and generative AI, while also integrating and deploying models using AWS services.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
• Experience with developing and deploying AI Agents for business problems.
• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.
• Experience in integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML related services.
• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.
• Experience with AWS SageMaker for model development and model deployment.
• Experience in understanding quantitative/statistical/ML/AI modeling methodologies.
• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.
• Knowledge of data privacy and security best practices in cloud environments.
• Familiarity with containerization (Docker) and container orchestration is a plus.
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Infosys employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply