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Llm Prompt Engineer Jobs in Phoenix, AZ (NOW HIRING)

Senior AI Engineer

Phoenix, AZ · Hybrid

$103.80K - $142.50K/yr

Improve prompt engineering, grounding, hallucination controls, and answer governance * Support ... AI / LLM implementation * Strong hands-on RAG development experience * Azure AI Search expertise

Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration). * Strong programming skills in Python & SQL, experience writing production ...

Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration). * Strong programming skills in Python & SQL, experience writing production ...

Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration). * Strong programming skills in Python & SQL, experience writing production ...

Engineer II Premium

Phoenix, AZ

$82.50K - $110K/yr

... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation ... LLM output evaluation and hallucination testing Education:Employment Type: CONTRACTOR

Python Gen AI Developer

Phoenix, AZ

$50 - $68.75/hr

Build and integrate Generative AI/LLM solutions using OpenAI, LangChain, Hugging Face, or similar frameworks. * Implement prompt engineering, RAG pipelines, and AI automation solutions. * Collaborate ...

AI/ML Engineer

Scottsdale, AZ · Hybrid

$65 - $67/hr

Key Responsibilities • Design, build and operate MCP servers and MCP agents that host, orchestrate and monitor AI/agent workloads. • Develop agentic AI, prompt engineering patterns, LLM ...

Python Gen AI Developer

Phoenix, AZ · Hybrid

$50 - $68.75/hr

Build and integrate Generative AI/LLM solutions using OpenAI, LangChain, Hugging Face, or similar frameworks. * Implement prompt engineering, RAG pipelines, and AI automation solutions. * Collaborate ...

Python Gen AI Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Build and integrate Generative AI/LLM solutions using OpenAI, LangChain, Hugging Face, or similar frameworks. * Implement prompt engineering, RAG pipelines, and AI automation solutions. * Collaborate ...

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

Provide vision and direction on GenAI adoption, including LLM integration patterns, prompt ... Strategically engage with engineering leaders, architects, and executives across the enterprise ...

... LLM concepts, including prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol)Experience with cloud-based deployment and observability tooling (e.g., Docker, AWS, GCP ...

AI Engineer Senior Consultant

Tempe, AZ · Hybrid

$100.10K - $137.40K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Hands-on experience with popular GenAI LLM models (e.g., GPT-4o, Llama, Mixtral), SLM s with Phi ... Experience in prompt engineering, data preprocessing, model fine-tuning, and evaluation. Experience ...

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Llm Prompt Engineer information

See Phoenix, AZ salary details

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$57

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How much do llm prompt engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for llm prompt engineer in Phoenix, AZ is $57.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $70.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer, and why are they important?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

What cities near Phoenix, AZ are hiring for Llm Prompt Engineer jobs? Cities near Phoenix, AZ with the most Llm Prompt Engineer job openings:
Infographic showing various Llm Prompt Engineer job openings in Phoenix, AZ as of May 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $120,228 per year, or $57.8 per hour.
Principal Engineer - Enterprise Product and Pricing Management

Principal Engineer - Enterprise Product and Pricing Management

Wells Fargo

Chandler, AZ • Hybrid

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

61st of 141 rated banks


Job description

About this role:

Wells Fargo is seeking a Principal Engineer that is an experienced, qualified product engineer that is responsible for ensuring the technical and architectural vision for the product is aligned through solution designs within the Enterprise Product and Pricing Management team. This role will serve as the technical representative for the product during cross-product collaborative efforts and planning and is well-versed in utilization of modernreusable enterprise solutions, establishing design patterns, and solving complex technical challenges. Learn more about career areas and business divisions at https://www.wellsfargojobs.com.


In this role, you will:

  • Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups

  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking

  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions

  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions

  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization

  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership


Required Qualifications:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 7+ years of application development background

  • 7+ years of architect and engineering deep knowledge or experience

  • 7+ years of experience designing LLM prompt engineering, prompt chaining, and evaluation frameworks

Desired Qualifications:

  • Previous and hands on experience with mainframe modernization to target state architectures

  • Ability to lead and deliver complex technical initiatives, with deep understanding of target state frameworks and design principals to guide technical transformation

  • Experience designing with GenAI-powered applications using LLMs (OpenAI, Google Gemini, Anthropic Claude, etc.)

  • Familiarity with AI governance, model risk management, compliance constraints, and responsible AI practices

  • Excellent problem-solving skills and the ability to evaluate and resolve technical challenges

  • Strong collaboration and communication skills to work effectively with peers, colleagues, and cross LOB technology teams - excellent communication skills at every level of the organization

  • Ability to lead and influence others and critique their work in a way that improves the overall team and the final product

  • Very deep skills in at least two technical domains - with ability to learn quickly for domains where you have less experience

  • Ability to troubleshoot and analyze performance bottlenecks

  • Familiarity with CI/CD pipelines, DevOps, and Agile practices

  • Deep understanding of non-functional requirements and systemic controls - embedded in system design and execution


Job Expectations:

  • Ability to travel ~10% of the time

  • Ability to work in global delivery environment and in a hybrid schedule, 3 days a week in office

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $254,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

20 May 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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