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Prompt Engineering Jobs in Phoenix, AZ (NOW HIRING)

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows. * Ensure solutions meet performance, security, and compliance standards (data privacy ...

Engineer II Premium

Phoenix, AZ

$82K - $110K/yr

... RAG) - Prompt engineering and optimization - Data Modeling - Synthetic Data Generation - Exploratory Data Analysis - Data cleaning and preprocessing - Tokenization and embedding models - Model ...

Vice President, AI Engineering

Scottsdale, AZ · On-site

$210 - $368/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish standards, controls, metrics, and governance for responsible AI development, AI-assisted engineering, model evaluation, prompt management, output validation, human oversight, model ...

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

LLMs and prompt engineering concepts * Agentic frameworks (ADK or similar) Nice to Have * Experience in banking, fintech, or digital platforms * Familiarity with Kubernetes, OpenShift, or cloud ...

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

Generative AI, LLMs, prompt engineering, and RAG concepts . * AI-assisted software development, testing, documentation, and code review * Will Collaborates with leaders, business analysts, project ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

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

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 ...

Showing results 21-40

Prompt Engineering information

See Phoenix, AZ salary details

$29.6K

$57.4K

$87K

How much do prompt engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for prompt engineering in Phoenix, AZ is $57,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $65,600.00 per year, depending on experience, location, and employer.

What is prompt engineering?

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 skills and qualifications are needed for prompt engineering?

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 AI behavior.

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.

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

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

What are popular job titles related to Prompt Engineering jobs in Phoenix, AZ?

For Prompt Engineering jobs in Phoenix, AZ, the most frequently searched job titles are:

What cities near Phoenix, AZ are hiring for Prompt Engineering jobs?

Cities near Phoenix, AZ with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Phoenix, AZ as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $57,391 per year, or $27.6 per hour.

Principal AI Engineer

Confiz Limited

Phoenix, AZ • On-site

$180 - $230/hr

Other

Posted 11 days ago


Job description

Confiz is seeking a Principal AI Engineer in the Phoenix AZ market, who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production-ready.

Responsibilities
  • Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives.
  • Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving.
  • Architect full-stack solutions that integrate AI models into web/enterprise applications — covering front-end, back-end APIs, and cloud infrastructure.
  • Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit.
  • Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance.
  • Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture.
  • Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads.
  • Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives.
  • Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows.
  • Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices).
Requirements
  • 10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture.
  • AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps.
  • Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.
  • Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture.
  • Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/GCP AI & data services.
  • Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance.
  • Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java).
  • Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices.
  • Strong stakeholder communication skills — ability to translate technical architecture into business value for both technical and non-technical audiences.
Nice to Have
  • Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex).
  • Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep).
  • Prior experience in a client-facing or pre-sales/solutioning capacity.
  • Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate).

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/

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