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Ai Prompt Designer Jobs in Arizona (NOW HIRING)

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...

Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ... designing and implementing Google Cloud networks, security controls, and landing zones using ...

Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ... designing and implementing Google Cloud networks, security controls, and landing zones using ...

Google AI Lead Architect

Tempe, AZ

$53 - $72.50/hr

Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ... designing and implementing Google Cloud networks, security controls, and landing zones using ...

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

This role focuses on designing and delivering secure, scalable, AI-enabled backend services for ... Implement AI Agents, tool/function calling, prompt engineering, structured outputs, and workflow ...

The AI Platform Architect designs and implements the architecture that connects Troon's data ... Establish technical patterns for AI implementation, including prompt design, output validation ...

The AI Platform Architect designs and implements the architecture that connects Troon's data ... Establish technical patterns for AI implementation, including prompt design, output validation ...

AI Platform Architect

Scottsdale, AZ · On-site

$120 - $150/hr

The AI Platform Architect designs and implements the architecture that connects Troon's data ... Establish technical patterns for AI implementation, including prompt design, output validation ...

AI Security Engineer

Phoenix, AZ · On-site

$134 - $171/hr

This role designs and implements security controls to reduce risks such as prompt injection, data ... Conduct threat modeling for AI systems and integrations and translate threats into technical ...

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic ... Proven experience designing scalable, distributed systems; solid grasp of system design principles ...

... designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

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Ai Prompt Designer information

What is an AI prompt designer?

An AI Prompt Designer is responsible for crafting and optimizing prompts that guide AI models to generate accurate, relevant, and high-quality responses. They analyze model behavior, experiment with different phrasings, and refine inputs to achieve desired outcomes. This role requires a mix of creativity, language expertise, and an understanding of AI capabilities. AI Prompt Designers often collaborate with developers, content creators, and businesses to enhance AI interactions.

What are the key skills and qualifications needed to thrive as an AI prompt designer?

To thrive as an AI Prompt Designer, you need expertise in natural language processing, prompt engineering principles, and a solid understanding of AI models, often supported by experience in linguistics, computer science, or related fields. Familiarity with tools such as OpenAI's GPT platforms, prompt optimization frameworks, and data annotation systems is typically important. Strong creative thinking, attention to detail, and collaborative communication skills set top candidates apart in this role. These skills enable the effective creation, testing, and refinement of prompts to maximize AI performance and address diverse project needs.

What are typical challenges faced by AI prompt designers in their daily work?

AI Prompt Designers often work with rapidly evolving technologies and must continually adapt to updates in AI models and guidelines. A common challenge is crafting prompts that consistently produce desired outputs while minimizing bias and ambiguity, especially when addressing complex or nuanced topics. Collaboration with data scientists, product managers, and UX designers is frequent, necessitating clear communication and iterative problem-solving. Over time, designers may find career advancement opportunities in AI research, product management, or leading prompt design teams.

How to become an AI prompt designer?

To become an AI prompt designer, develop strong skills in natural language processing, machine learning, and creative writing. Gain experience with AI tools and platforms like OpenAI's GPT models, and build a portfolio of effective prompts. Relevant education in computer science, linguistics, or related fields can also be beneficial.

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

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

Infographic showing various Ai Prompt Designer job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Fullstack Developer (AI)

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted yesterday


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Enables tight integration between application layers and machine learning models This role is responsible for building both the "brain" (AI models/logic) and the "body" (user interface and APIs) of an application, ensuring that AI features are not just functional but seamlessly interconnected into the user experience.

The Full Stack Developer (AI) operates across the full application stack, bridging model development and application production deployment, with an emphasis on scalability, integration, and usability.

  • End-to-End Development: Building responsive front-end interfaces that interact with sophisticated AI back-end, MCP Fulfilment Servers and Knowledge Management System
  • AI Integration: Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources.
  • API Design: Creating the bridges (REST/GraphQL) that allow front-end components to communicate with ML models.
  • Product Realization: Taking a raw AI model and turning it into a polished, user-facing software product.
  • Participate in cross-functional brainstorming, strategic planning and business review sessions
  • Oversee best practices implemented during the entire DevOps/MLOps LifeCycle
  • Managed Resources like Code Repositories, API Optimization, Cloud Resources, CI/CD and Data Pipeline

NATURE OF PROBLEMS ENCOUNTERED

  • Latency Management: Solving the "slow AI" problem-ensuring users aren't left waiting while a model processes a complex request.
  • Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs provided by a user.
  • State Management: Handling the complex states of an AI conversation (memory, context windows, and history).
  • Intermittent Failures: Debugging non-deterministic errors where an AI model provides a different (or wrong) output for the same input.

REQUIREMENTS


Must Have the following tech stack experience:

  • Front-end: React.js, Next.js, or Vue.js; Tailwind CSS
  • Back-end: Python (FastAPI/Flask) or Node.js
  • Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma.

Familiarity with

  • AI/ML: LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow.
  • Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX

Experience:

  • More than 3-year experience on IT and Telco industry
  • 3-5 years in Full Stack Development with at least 1-2 years specifically focused on AI-integrated products
  • At least 3-year experience in implementing Web/Mobile App Projects, coordinating and managing vendors
  • At least 1-year experience in Testing Automation
  • Basic knowledge on project management discipline
  • Basic knowledge of DevOps Tools (CI/CD, Terraform, JIRA, Confluence)

KEY OUTPUTS

  • Application Proof of Concepts and Prototypes that will improve customer experience through AI features and capabilities
  • Functional AI Web Applications: Production-ready applications where AI is a core feature (e.g., an intelligent dashboard or an AI-driven SaaS tool).
  • Integrated API Layers: Scalable middleware that handles prompt engineering, token management, and model inference.
  • Responsive UI/UX: User interfaces specifically designed for AI interactions (e.g., streaming text responses, multimodal inputs, and feedback loops).
  • Optimized Vector Databases: Efficiently indexed data storage for fast context retrieval in AI applications.
  • Technical Documentation: Comprehensive guides for the application's architecture, including API schemas and deployment procedures.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.