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Prompt Engineering Ai Jobs in Arizona (NOW HIRING)

Tror AI for everyone

Software Engineer

Phoenix, AZ · On-site

Good understanding of Google Dialog flow CX or similar conversational AI frameworks. * Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts. * Familiarity ...

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AI Process Improvement Analyst - Ops

Phoenix, AZ

$71K - $88K/yr

Leverage AI prompt engineering and workflow automation to design, test, and execute virtual agent workflows and automated business processes. * Gather anecdotal and quantitative data across Upgrade ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

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

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 ...

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/yr

The Opportunity : The AI Solutions Engineering Delivery Lead will oversee multiple ... and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or ...

Wells Fargo

Lead Software Engineer

Phoenix, AZ · On-site

Experience with GenAI technologies (LLMs, embeddings, vector stores, prompt engineering), AI-assisted development tools (GitHub Copilot, Claude, Codex), and agentic AI solutions to enhance analytics ...

American Express

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or ... As an AI Engineer III - Agentic AI, you will be a hands-on builder contributing to the development ...

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$30.3K

$58.7K

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How much do prompt engineering ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for prompt engineering ai 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 engineer in AI?

A Prompt Engineer in AI is a specialist who designs, tests, and refines the inputs (prompts) given to large language models or generative AI systems to optimize their outputs. They work to understand how different prompt formulations influence AI responses, aiming to make the AI perform specific tasks more accurately and reliably. This role often requires strong analytical skills, creativity, and an understanding of both natural language and the capabilities of AI models. Prompt engineers collaborate with product teams, data scientists, and developers to create efficient workflows and improve user experience with AI tools.

What are some common challenges faced by prompt engineering AI professionals when collaborating with multidisciplinary teams?

Prompt Engineering AI professionals often work closely with data scientists, product managers, and software engineers. One common challenge is translating complex technical requirements from non-technical stakeholders into clear, actionable prompts for AI models. Maintaining effective communication and aligning expectations across teams is crucial, as is ensuring that AI outputs meet both technical and business objectives. Adaptability and a collaborative mindset are essential to navigate differing priorities and continuously optimize AI model performance.

What are the key skills and qualifications needed to thrive as a prompt engineer in AI, and why are they important?

To thrive as a Prompt Engineer in AI, you need a strong background in computer science, natural language processing, and experience with large language models, often supported by a relevant degree or technical training. Familiarity with AI platforms (such as OpenAI’s GPT), prompt design tools, and programming languages like Python is typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for optimizing prompts and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient, and user-aligned AI outputs in fast-evolving environments.

What is the difference between Prompt Engineering Ai vs Data Scientist?

AspectPrompt Engineering AiData Scientist
Required CredentialsKnowledge of AI models, programming, and prompt designDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI labs, startupsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, NLP applications, chatbot designData analysis, predictive modeling, data-driven decision making

Prompt Engineering Ai focuses on designing effective prompts for AI models, primarily working with language models and AI tools. Data Scientists analyze data, build models, and generate insights. While both roles require technical skills, Prompt Engineers specialize in AI prompt optimization, whereas Data Scientists work with broader data analysis and statistical methods.

How do I become a prompt engineering AI?

Prompt engineering is a skill-based role that involves designing effective prompts for AI language models. To become a prompt engineer, develop a strong understanding of natural language processing, experiment with AI tools like GPT, and improve your skills through online courses, tutorials, and practice. Familiarity with programming, data analysis, and AI concepts can also enhance your qualifications.

Is prompt engineering AI a good career?

Prompt engineering AI is a growing field focused on designing effective prompts for AI models, and it offers opportunities in industries such as technology, research, and content creation. Success in this career typically requires strong language skills, understanding of AI tools, and continuous learning to keep up with evolving models. It can be a rewarding career for those interested in AI development and human-AI interaction.

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

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

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

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

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

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

Prompt Engineering Ai jobs near you
Infographic showing various Prompt Engineering Ai job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $58,688 per year, or $28.2 per hour.

Senior AI Model Fine-Tuning Engineer

Taiwan Semiconductor Manufacturing Company Limited

Phoenix, AZ • On-site

$128K - $176K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Company
TSMC Arizona Corporation
Location
USA-Arizona
Posted
Apr 03, 2026
Senior AI Model Fine-Tuning Engineer
A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America's leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As a Senior AI Model Fine-Tuning Engineer, you will work on adjusting the behavior and functional abilities of our AI models to make them more adaptable, intelligent, and aligned with real-world use cases.
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 process for large pre-trained models, focusing on making models behave appropriately in different contexts (e.g., following instructions, answering questions, or performing tasks).
  • Design and implement prompt engineering strategies to help the model produce more accurate, relevant, and coherent outputs.
  • Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model's alignment with user needs and ethical standards.
  • Collaborate with data teams to integrate relevant data and continuously improve model behavior.
  • Conduct model evaluations using various performance metrics (accuracy, bias detection, user feedback) to identify areas for improvement.
  • Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases.
  • Monitor model drift and ensure that models remain consistent, reliable, and safe over time.

Minimum Qualifications/Requirements:
Education: Minimum degree required: Bachelor's degree in Computer Science, Data Science, or a related field.
Technical Skills:
  • 5+ years of experience working on fine-tuning large-scale models such as GPT, T5, or BERT, with a strong focus on behavior and functionality.
  • Expertise in advanced tuning methods such as RLHF, prompt engineering, and zero-shot learning.
  • Experience with popular transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch.
  • Deep understanding of LLM behaviors, including instruction-following, task completion, and ethical considerations in output.
  • Proficiency in Python and experience with libraries for model fine-tuning (e.g., Transformers, DeepSpeed).
  • Experience in evaluating model performance, including using metrics like BLEU, ROUGE, perplexity, and custom evaluation frameworks.
  • Bonus: Experience with ethical AI and safety considerations, such as minimizing bias and handling adversarial inputs.
  • Bonus: Experience with model deployment and real-time experimentation (A/B testing).

Interpersonal Skills:
  • Communication
  • Computer proficiency
  • Presentation skills
  • Listening
  • Teamwork

Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best-physically, mentally, and financially-our company is at its best. We offer a comprehensive and competitive benefits program that provides the resources you need to help you manage your health and achieve your goals across many areas of your life. This includes a variety of medical, dental and vision plan offerings you can choose from that best fit your and your family's needs. Additionally, TSMC provides income-protection programs to financially assist you should you experience an injury or illness, and a 401(k)-retirement savings plan to help you secure your financial future. TSMC also offers competitive paid time-off programs and paid holidays allowing you to recharge and spend time with your family and loved ones.
Work Location: 5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We encourage all qualified individuals to apply, and we welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without a reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.
#LI-Onsite
TSMC Core Values
At TSMC, we invite talented individuals who share our vision and values to contribute to our continued success. Our core values are the foundation of our culture, guiding every decision and action. We seek applicants who deeply resonate with these principles and embody them in their work:
  • Integrity: Tell the truth. We do not brag. We do not make commitments lightly. Once we make a commitment, we devote ourselves completely to meeting that commitment.
  • Commitment: Employees are dedicated to the company, view the company's success as their own and work diligently to make their best contributions. As commitment is mutual, the Company strives to serve the best interests of its employees.
  • Innovation: Innovation is the wellspring of the Company's growth. It means more than new ideas; it means putting ideas into practice.
  • Customer Trust: We strive to build deep and enduring relationships with our customers, who trust and rely on us to be part of their success over the long term.

(For more details on TSMC's Core Values, please visit:https://www.tsmc.com/english/aboutTSMC/values)

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