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Ai Agent Engineer Jobs in Arizona (NOW HIRING)

AI Engineer

Scottsdale, AZ · On-site

$50/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 ...

New

AI Engineer

Yuma, AZ · Remote

$60 - $120/hr

You'll also create reproducible environments, reliable verification systems, and reference solutions that accurately evaluate an AI agent's reasoning, tool usage, and software engineering ...

New

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 ...

New

... Agent Engineering Technical Skills 3 Technology|AI Hyperscalers|AWS Agentic AI Services Technical Skills 4 Technology|Machine Learning|Generative AI Technical Skills 5 Technology|DevOps|Continuous ...

Manager - Application & AI Security

Scottsdale, AZ · On-site

$58.75 - $78.25/hr

Prompt-injection, jailbreak, and AI-agent security risks are regularly assessed. * Application and AI security practices are embedded into engineering workflows rather than operating as a separate ...

Cybersecurity Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

Monitor, test, and improve AI agent performance through feedback loops and measurable quality metrics. * Partners with Security, Risk, Compliance, Audit, Engineering, ITAM, and ServiceNow teams to ...

AI Engineer

Phoenix, AZ

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Strong knowledge of prompt engineering , AI orchestration, and model evaluation. * Experience with ... Knowledge of MCP (Model Context Protocol) or AI agent architectures. * Experience with Python for ...

New

Run prompt-injection and jailbreak testing and LLM red-teaming, and secure MCP and AI-agent ... Hands-on experience building security into CI/CD as guardrails-as-code (Azure DevOps, GitHub ...

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Ai Agent Engineer information

See Arizona salary details

$23

$49

$71

How much do ai agent engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai agent engineer in Arizona is $49.98, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $58.03 per hour, depending on experience, location, and employer.

What is an AI Agent engineer?

An AI Agent Engineer designs, develops, and optimizes autonomous AI agents that can perceive, reason, and act within digital or real-world environments. They work with machine learning, reinforcement learning, and natural language processing to build intelligent systems that interact dynamically with users and other agents. These engineers often integrate AI models with APIs, databases, and software applications to create functional and scalable AI-driven solutions. Their role bridges software engineering and artificial intelligence, ensuring agents operate efficiently and adaptively in various use cases.

What are the key skills and qualifications needed to thrive as an AI Agent engineer?

To excel as an AI Agent Engineer, you need a robust background in computer science, machine learning, and software engineering, often supported by a degree in a STEM field. Familiarity with programming languages like Python, relevant AI frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are typically expected, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, effective communication, and teamwork skills are essential soft skills for collaborating on complex AI projects. These competencies ensure you can design, implement, and refine intelligent agents that meet real-world challenges and deliver business value.

What are some typical challenges faced by AI Agent engineers in their day-to-day work?

AI Agent Engineers often encounter challenges such as optimizing agent performance for real-time environments, integrating new algorithms without disrupting existing systems, and ensuring their models can handle diverse and dynamic real-world data. Troubleshooting unexpected behaviors or edge cases and keeping up with rapidly evolving research in artificial intelligence can also be demanding. Working closely with product managers, data scientists, and software developers helps address these challenges, making collaboration and adaptability key components of daily tasks. Overcoming these issues offers valuable learning opportunities and contributes to the growth of robust, innovative AI solutions.

What are the most commonly searched types of Ai Agent Engineer jobs in Arizona?

The most popular types of Ai Agent Engineer jobs in Arizona are:

What are popular job titles related to Ai Agent Engineer jobs in Arizona?

For Ai Agent Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Agent Engineer jobs in Arizona look for?

The top searched job categories for Ai Agent Engineer jobs in Arizona are:

What cities in Arizona are hiring for Ai Agent Engineer jobs?

Cities in Arizona with the most Ai Agent Engineer job openings:

Infographic showing various Ai Agent Engineer job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $103,954 per year, or $50 per hour.

AI Agent Engineer Remote Enterprise Workflows

70 HonorHealth Support Services

Phoenix, AZ • Remote

Full-time

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


Job description

HonorHealth in Arizona is seeking an AI Agent Developer to design, build, deploy, and maintain AI agents and agent-enabled workflows across enterprise use cases. This role emphasizes secure, governed, and scalable AI solutions that support decision making and productivity. You will collaborate with AI Trainers, software engineers, analysts, and governance partners to ensure responsible implementation and measurable impact on business processes. #J-18808-Ljbffr