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Entry Level Prompt Engineer Jobs in Phoenix, AZ (NOW HIRING)

Fall 2026 - AI & Data Analytics Intern

Scottsdale, AZ · On-site

$15 - $20.25/hr

... entry-level career positions, providing a collaborative and inclusive environment where interns ... Familiarity with prompt engineering, retrieval-augmented generation, semantic search, or practical ...

Entry Level Prompt Engineer information

See Phoenix, AZ salary details

$29.8K

$68.9K

$117.2K

How much do entry level prompt engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level prompt engineer in Phoenix, AZ is $68,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $77,900.00 per year, depending on experience, location, and employer.

What is an entry level prompt engineer?

An Entry Level Prompt Engineer is responsible for designing, testing, and refining prompts to improve the performance of AI language models. They work with machine learning engineers and data scientists to optimize outputs for accuracy, clarity, and efficiency. This role requires strong analytical thinking, creativity, and an understanding of how AI models interpret language. Basic programming skills and familiarity with AI tools can be beneficial, though not always required. It is a great starting point for those interested in AI and natural language processing.

What are some typical projects or tasks an entry level prompt engineer might work on during their first year?

As an Entry Level Prompt Engineer, you will likely assist in designing, testing, and optimizing prompts for generative AI systems used in various applications, such as customer support, content creation, and data analysis. Your daily responsibilities may include analyzing prompt outcomes, debugging prompt-related issues, and collaborating with engineers and product managers to align AI outputs with business objectives. You'll often participate in user feedback sessions and help document prompt behaviors and recommended best practices. This hands-on experience will deepen your understanding of AI behavior and prepare you for more complex prompt engineering tasks as you advance in your career.

What are the key skills and qualifications needed to thrive in the entry level prompt engineer position, and why are they important?

To excel as an Entry Level Prompt Engineer, you need a solid understanding of language models, natural language processing, and basic programming skills, usually supported by a degree in computer science or a related field. Familiarity with platforms like OpenAI's GPT, prompt engineering tools, and version control systems such as Git is often required. Strong analytical thinking, creativity, and clear written communication help you craft and refine effective prompts and collaborate with technical teams. These combined skills and qualities ensure you can design prompts that reliably generate accurate, relevant outputs and contribute to continuous AI improvement.

Are entry level prompt engineers still in demand?

Entry level prompt engineers are increasingly in demand as organizations adopt AI and natural language processing technologies. Skills in designing effective prompts and understanding AI models are valuable, and demand is expected to grow with the expansion of AI applications across industries.

Can you get a job as an entry level prompt engineer?

Entry level prompt engineers typically need strong communication skills, basic understanding of AI and natural language processing, and familiarity with tools like language models. Relevant coursework, certifications, or experience with AI platforms can improve job prospects. Many roles are available for those starting in AI-related fields with a focus on prompt design and optimization.

How to start a career as an entry level prompt engineer?

To start a career as an entry level prompt engineer, develop skills in natural language processing, machine learning, and AI tools such as OpenAI's GPT models. Gain experience through online courses, tutorials, and building a portfolio of prompt design projects. Familiarity with programming languages like Python and understanding of AI ethics can also be beneficial.

What are the most commonly searched types of Prompt Engineer jobs in Phoenix, AZ?

The most popular types of Prompt Engineer jobs in Phoenix, AZ are:

What are popular job titles related to Entry Level Prompt Engineer jobs in Phoenix, AZ?

For Entry Level Prompt Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What cities near Phoenix, AZ are hiring for Entry Level Prompt Engineer jobs?

Cities near Phoenix, AZ with the most Entry Level Prompt Engineer job openings:

Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Servic

Phoenix, AZ • On-site

$89K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz


Job description


Business Unit / Role Specific Info
Enterprise Technology Services teams build and support technology capabilities that help American Express deliver service excellence at global scale. You may work with engineers, product partners, architecture, information security, risk, operations, and business stakeholders to create software solutions that are dependable, maintainable, and aligned to enterprise standards.
Responsibilities
What You'll Do
  • Support the design, development, testing, and maintenance of software applications, APIs, services, and technical components under guidance.
  • Write clean, readable, and maintainable code using modern programming practices and team engineering standards.
  • Assist with debugging, troubleshooting, code reviews, unit testing, integration testing, and production-readiness activities.
  • Collaborate with product owners, engineers, analysts, and business partners to understand requirements and deliver customer-focused features.
  • Contribute to Agile team ceremonies, including sprint planning, stand-ups, demos, retrospectives, and backlog refinement.
  • Document technical decisions, code behavior, dependencies, configuration details, and support procedures to promote knowledge sharing.
  • Help strengthen reliability, security, performance, accessibility, and quality across software solutions.
  • Learn and apply enterprise expectations for secure software development, privacy, risk, compliance, and appropriate escalation.

What You'll Learn
  • How enterprise software is built, tested, deployed, monitored, and supported at scale.
  • How to translate business needs into well-structured technical solutions that support customers and colleagues.
  • How engineering teams use Agile practices, CI/CD, version control, automated testing, observability, and operational readiness.
  • How to partner across technology, product, security, risk, and business teams in a global organization.
  • How to grow technical depth, communication skills, ownership, and professional confidence in a supportive early-career environment.

Qualifications
Minimum Qualifications
  • Must have earned a Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or other technical field before the full-time start date.
  • Coursework, academic projects, research, internships, open-source contributions, hackathons, or extracurricular experience involving software development.
  • Programming ability in one or more languages such as Java, Python, JavaScript, TypeScript, C#, C++, or similar.
  • Understanding of computer science fundamentals, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
  • Interest in software engineering practices such as API development, web applications, backend services, data integrations, automation, and cloud-enabled delivery.
  • Ability to learn new technologies, ask thoughtful questions, and apply feedback in a team environment.
  • Clear communication, collaboration, documentation, curiosity, accountability, and a customer first mindset.
  • Familiarity with APIs, microservices, cloud platforms, containerization, CI/CD pipelines, automated testing, monitoring, or operational support concepts.
  • Experience with Git or similar version control tools and collaborative software development workflows.
  • Exposure to advanced AI software engineering concepts such as LLM integrations, prompt engineering, prompt evaluation, embeddings, retrieval-augmented generation, vector search, AI agents, agentic workflows, or human-in-the-loop review.
  • Interest in secure coding, accessibility, observability, reliability engineering, developer experience, AI-enabled development tools, or enterprise-scale systems.

Preferred Qualifications
  • Master's degree candidates with an expected graduation date between December 2026 and June 2027.
  • Foundational experience with writing, testing, debugging, and documenting code.
  • Understanding of software development lifecycle concepts, version control, test practices, and collaborative engineering workflows.
  • Strong communication, collaboration, documentation, learning agility, and problem-solving skills.
  • Interest in building software applications across web, mobile, backend, cloud, API, microservices, or full-stack environments.
  • Exposure to software development across backend, frontend, cloud, mobile, API, data, or full-stack environments.
  • Familiarity with building or integrating AI enabled applications using APIs, data pipelines, model inference endpoints, evaluation workflows, or cloud-based AI services.
  • Awareness of responsible AI practices, including model reliability, explainability, privacy, security, governance, bias mitigation, guardrails, and validation of AI-generated outputs.
  • Experience with modern software development practices such as version control, testing, code reviews, Agile methodologies, and collaborative development.
  • Curiosity for emerging technologies, including artificial intelligence, machine learning, developer productivity tooling, automation, and responsible AI practices.
  • Strong communication, teamwork, collaboration, learning agility, and the ability to learn emerging technologies

Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Technology Areas and Preferred Skills
American Express software engineers may be aligned to different technology teams based on business needs, project requirements, and individual strengths. Experience in one or more of the following areas is beneficial:
  • Back-End Engineering: Java, Python, Go, APIs, microservices, distributed systems, Big Data, or data-oriented engineering concepts.
  • Front-End Engineering: JavaScript, React, TypeScript, REST APIs, accessibility, and user experience principles.
  • Cloud Engineering: Cloud-native development, microservices, CI/CD, containerization, DevOps practices, and infrastructure-aware engineering.
  • AI & Machine Learning Engineering: Python, Java, machine learning fundamentals, AI-powered developer tools, data processing, automation, responsible AI concepts, and agentic workflow awareness.
  • Mobile Engineering: Swift, Kotlin, API integration, mobile testing frameworks, mobile architecture, and UI/UX fundamentals.
  • Core Skills Across All Areas: Problem solving, computer science fundamentals, communication, collaboration, curiosity, secure engineering, and a growth mindset.

Ideal Candidate Profile
  • A graduate level early career technologist who enjoys solving problems, building software, and learning from experienced engineers.
  • A collaborative teammate who values integrity, quality, service excellence, and positive impact.
  • A builder who is comfortable working through ambiguity, breaking problems into smaller steps, and improving solutions over time.
  • A learner who wants to grow technical capability while understanding how technology creates business and customer value.

Candidate Value Proposition
This is an opportunity to be Backed by Amex while building the skills, confidence, and network needed to grow as a technologist. You'll work on meaningful software engineering challenges, learn from experienced teams, and contribute to technology that supports customers and colleagues around the world. Grow with us, shape the future of payments, and know that your contributions matter.
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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