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Agent Based Modeling Jobs in Arizona (NOW HIRING)

... based solutions that drive real-world results. The Work You'll Lead * Architecting Workflows ... Agent Logic: A strong grasp of Large Language Models (LLMs) and emerging agentic design patterns.

... based solutions that drive real-world results. The Work You'll Lead * Architecting Workflows ... Agent Logic: A strong grasp of Large Language Models (LLMs) and emerging agentic design patterns.

Senior Agent AI Engineer

Phoenix, AZ

$128K - $176K/yr

Integrate language models (LLMs) with tools, APIs, and software environments to extend agents ... Test and evaluate agents in real-world scenarios, iterating on designs based on feedback and ...

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Integrate language models (LLMs) with tools, APIs, and software environments to extend agents ... Test and evaluate agents in real-world scenarios, iterating on designs based on feedback and ...

Fine-tune and optimize LLMs and task-specific models using: * LoRA * QLoRA * PEFT * Contribute to agent-based AI applications using: * LangGraph * AutoGen * CrewAI * DSPy * Integrate AI capabilities ...

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Agent Based Modeling information

See Arizona salary details

$13

$28

$37

How much do agent based modeling jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for agent based modeling in Arizona is $28.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $36.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Agent Based Modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an Agent Based Modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What job makes $10,000 a month without a degree?

Agent-based modeling is a specialized field often used in research, simulation, and data analysis, but it typically requires advanced education or training. Jobs that can pay $10,000 a month without a degree include roles like real estate investors, successful entrepreneurs, or skilled trades such as certain sales positions or tech freelance work, which rely more on experience, skills, and performance than formal education.

What does agent-based modeling mean?

Agent-based modeling is a computational approach used in agent-based modeling jobs to simulate interactions of autonomous agents within a system. It involves creating models where individual entities follow rules, allowing analysis of complex behaviors and emergent phenomena. Skills in programming, such as Python or NetLogo, are often required for developing and analyzing these models.

What is an Agent-Based Modeling job?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What jobs in the US pay 300,000 a year?

Agent-based modeling is a specialized field often found in roles such as data scientists, quantitative analysts, or research scientists, particularly in industries like finance, technology, or government research. These positions typically require advanced skills in programming, statistical analysis, and simulation tools, and salaries can reach or exceed $300,000 for senior or highly experienced professionals in high-demand sectors. Compensation depends on experience, location, and the complexity of the role.

What's the highest paying modeling job?

In agent-based modeling, high-paying roles are typically found in senior research positions, data science leadership, or consulting roles in industries like finance, defense, or technology. These positions often require advanced skills in programming, simulation tools, and a strong understanding of complex systems, with salaries reaching six figures or more depending on experience and location.
What are popular job titles related to Agent Based Modeling jobs in Arizona? For Agent Based Modeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Arizona look for? The top searched job categories for Agent Based Modeling jobs in Arizona are:
What cities in Arizona are hiring for Agent Based Modeling jobs? Cities in Arizona with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in Arizona as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $58,431 per year, or $28.1 per hour.
AI Agent Builder

Full-time

Posted 3 days ago


Job description

At arrivia, we have already integrated AI into our daily toolkit, but we are ready to take the next leap. We are moving beyond manual prompting and into the intentional design, build, and deployment of autonomous AI agents that automate complex work and scale our impact across the globe.

As our AI Agent Builder, you will architect the workflows that define how our marketing, brand, and analytics teams evolve. This is a high-autonomy role where you will act as an internal consultant, translating business challenges into sophisticated, agent-based solutions that drive real-world results.

The Work You’ll Lead

  • Architecting Workflows: Design multi-step agent architectures that automate recurring marketing, analytics, and operational tasks.
  • Building & Maintaining: Develop and "fine-tune" AI agents, copilots, and subject-matter expert agents that integrate directly into our marketing ecosystem.
  • Cross-Functional Innovation: Partner with Performance, Lifecycle, and Brand teams to identify and prioritize high-impact automation—from email code optimization and brand voice consistency to lead quality analysis.
  • Enablement: Develop reusable agent frameworks, templates, and prompt standards that ensure our outputs are accurate, actionable, and secure.

What We’re Looking For

You are a rare blend: a systems thinker who understands marketing strategy and a builder who can create the automation to support it.

Technical Requirements:

  • Programming: 5+ years of high proficiency with Python, JSON, and JavaScript.
  • AI Platforms: Hands-on experience with Microsoft Power Automate, Copilot, and agent-enabling platforms (e.g., Claude, Codex, n8n).
  • Connectivity: Deep expertise in APIs and Webhooks is essential for connecting agents to our tech stack.
  • Web & Data: Proficiency in HTML & CSS for email optimization and experience managing databases like SQL or Firebase.

The Extra Edge:

  • MarTech Mastery: Experience with Marketo and/or Tealium is a significant advantage.
  • Agent Logic: A strong grasp of Large Language Models (LLMs) and emerging agentic design patterns.

Why arrivia?

We are a global travel technology leader focused on building a customer-first culture fueled by innovation. We aren't just keeping pace with tech trends—we are investing heavily in our infrastructure and partnerships to redefine the travel experience for our members.

We provide an environment where you can own your impact and see your builds move the needle for a global audience. If you are driven to stay curious and want to lead the charge in applied AI, the adventure is only beginning.

Our Core Values:

  • Stay Curious – Explore new challenges and make space to learn.
  • Keep it Real – Earn trust through open, honest communication.
  • Own it – Seek ways to make an impact and take action.
  • Win Together – Create a culture of connection and inclusion.