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Ai Agent Developer Jobs in Arizona (NOW HIRING)

Manager IT/ AI

Marana, AZ · On-site

$105K - $130K/yr

Direct AI agent development and orchestration, including use‑case design, prompt engineering, agent chaining, role‑based access, testing, monitoring, and continuous improvement of agent ...

... AI and autonomous agent patterns to accelerate development, testing, and operations. You will combine traditional engineering (Node.js backend, Angular front end, MongoDB, Camunda workflows) with ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

AI Engineering Leader

Tempe, AZ · On-site

$98K - $129K/yr

Multi-agent architectures Retrieval-Augmented Generation (RAG) pipelines GraphRAG implementations ... DevOps & CI/CD Design and implement CI/CD pipelines using GitHub Actions Integrate AI workflows ...

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

... multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms ... Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI ...

... AI Developer to enhance their Digital Center of Excellence. This role involves designing and ... AI, and multi-agent systems. • Design, build, and deploy agentic solutions using Microsoft ...

Director of Biostatistics

Yuma, AZ · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Director of Biostatistics

Mesa, AZ · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Director of Biostatistics

Tempe, AZ · Remote

$60 - $100/hr

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

Showing results 21-40

Ai Agent Developer information

See Arizona salary details

$27K

$44.7K

$92.7K

How much do ai agent developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai agent developer in Arizona is $44,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $47,500.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

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

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

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

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

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

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

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

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

Infographic showing various Ai Agent Developer job openings in Arizona as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $44,666 per year, or $21.5 per hour.

Senior Database Security Engineer

American Express

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Posted 10 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, our mission is to deliver the world's best customer experience every day. At the heart of this mission is our Information Security organization, enabling exceptional experiences built on a foundation of trust, service, and security. We leverage advanced technologies and data-driven insights to stay ahead of an evolving threat landscape. We foster a culture of passion, curiosity, and courage-empowering you to innovate, grow, and help shape the future of a Fortune 100 company.

Trust. Service. Security.

The Data Security team is responsible for safeguarding the organization's most critical asset-its data-by ensuring confidentiality, integrity, and availability across all platforms and environments.  Working at the intersection of cybersecurity, data governance, and privacy, the Data Security team focuses on capabilities such as data classification, encryption, secure data access, and monitoring. The team partners closely with engineering, risk, and business units to embed security controls throughout the data lifecycle-from creation and storage to sharing and archival.

We are seeking an experienced Senior Security Automation Engineer to design, build, and enhance our next-generation Data Access management (DAM) program spanning traditional, cloud-native, and emerging database technoloy

  • Bachelor's degree in Computer Science, Artificial Intelligence, Information Security, Data Science, Engineering, or related technical field. 

  • 7+ years of software engineering in database security or related technical fields. 

  • 3+ years of experience with GenAI, LLMs, and agentic workflows 

  • Strong programming skills in Python, Java, NoSQL, REST API, Springboot. 

  • Experience building AI agents using frameworks such as LangGraph, LangChain or equivalent. 

  • Experience with Model Context Protocol (MCP) for tool integration and A2A for agent-to-agent collaboration 

  • Exposure to implementing Agentless Database activity monitoring.  

  • Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. 

  • Strong understanding of anomaly detection, classification, and clustering. 

  • Hands-on experience implementing data security controls in AWS and GCP  

  • Experience working with large scale log, telemetry, and security datasets. 

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

  • Expand Database activity management and access management coverage to newly introduced databases and cloud data services. 
  • Design and implement custom database activity and access management solutions for relational, NoSQL, cloud-native, and emerging database platforms. 

  • Develop scalable pipelines to ingest, normalize, correlate, and analyze database audit logs, cloud-native logs, and security telemetry. 

  • Partner with security operations, database engineering, cloud engineering, and application teams to implement Database activity management at scale. 

  • Continuously evaluate emerging AI, database, and cloud technologies to improve access management capabilities. 

  • Integrate DSPM platforms to enrich Access management and monitoring with data classification, sensitivity labels, ownership metadata, and business context. 

  • Serve as the technical Subject Matter Expert (SME) for strategic initiatives and provide end-to-end ownership from requirements through production deployment. 

  • Build AI agent-based automation to correlate events across multiple security data sources and investigate anomalous database activity, unauthorized access detection. 

  • Build AI agent-based workflows to simplify Database Access attestation processes. 

  • Develop risk-scoring models that combine user behavior, data sensitivity, privilege level, access patterns and threat intelligence. 

  • Build automation workflows that reduce manual investigations and improve response times. 

  • Design dashboards and executive reporting for monitoring coverage, risk posture, and program maturity. 


What American Express employees say

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