1

Agent Based Modeling Jobs in Tempe, AZ (NOW HIRING)

Senior Agent AI Engineer

Phoenix, AZ ยท 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 ...

... agent, and model deployment. Evaluate new tools and methods (e.g., LangSmith, LangFuse, Bedrock, or cloud-based AI services) to enhance team efficiency and system reliability. * Mentor and coach team ...

Senior Agent AI Engineer

Phoenix, AZ ยท 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 ...

... agent, and model deployment. Evaluate new tools and methods (e.g., LangSmith, LangFuse, Bedrock, or cloud-based AI services) to enhance team efficiency and system reliability. * Mentor and coach team ...

... agent, and model deployment. Evaluate new tools and methods (e.g., LangSmith, LangFuse, Bedrock, or cloud-based AI services) to enhance team efficiency and system reliability. * Mentor and coach team ...

Software Engineer

Phoenix, AZ ยท On-site

$52 - $57/hr

GraphRAG * Model Context Protocol (MCP) * Knowledge of data governance, data quality, metadata ... LangChain, LangGraph, ADK, RAG, GraphRAG, MCP, Agent-Based Architectures Must-Have Skills Summary ...

Land Agent (Field Based)

Scottsdale, AZ

$28 - $37.75/hr

We call this capability our "boots to boardroom" approach for its comprehensive service model that ... Based on review of these responses, shortlisted candidates will be invited for interviews. ERM does ...

Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity with evaluation frameworks, prompt iteration, and model behavior tuning * Understanding of limitations ...

next page

Showing results 1-20

Agent Based Modeling information

See Tempe, AZ salary details

$14

$28

$38

How much do agent based modeling jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for agent based modeling in Tempe, AZ is $28.87, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $37.98 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 is an agent based modeling?

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 are popular job titles related to Agent Based Modeling jobs in Tempe, AZ? For Agent Based Modeling jobs in Tempe, AZ, the most frequently searched job titles are:
What cities near Tempe, AZ are hiring for Agent Based Modeling jobs? Cities near Tempe, AZ with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $60,054 per year, or $28.9 per hour.

$128K - $176K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Company
TSMC Arizona Corporation
Location
USA-Arizona
Posted
Mar 10, 2026
Senior Agent AI Engineer
A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading-edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America's leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As a Senior Agent AI Engineer, you will design and build autonomous agents capable of reasoning, decision-making, and interacting with external systems (APIs, databases, external tools). You will work on building systems that enable agents to autonomously carry out tasks, plan actions, and collaborate with other agents, ensuring that these agents behave in a safe, reliable, and ethical manner. You will leverage cutting-edge AI technologies to design and implement autonomous agent systems that extend the capabilities of language models (LLMs) through integration with APIs, tools, and external software environments. You will focus on enabling agents to act independently, collaborate in multi-agent systems, and execute tasks with safety, reliability, and ethical considerations.
Key Responsibilities:
  • Design and implement autonomous agent systems with a focus on behavior modeling, task execution, and collaboration.
  • Integrate language models (LLMs) with tools, APIs, and software environments to extend agents' capabilities, such as interacting with databases, browsers, or external tools.
  • Develop agent memory systems, task tracking mechanisms, and goal-directed behaviors to enable agents to act autonomously in dynamic environments.
  • Implement multi-agent systems to allow agents to collaborate, share knowledge, and solve complex problems collectively.
  • Ensure agents' actions align with predefined ethical and safety constraints, minimizing risks and unwanted behaviors.
  • Test and evaluate agents in real-world scenarios, iterating on designs based on feedback and performance metrics.
  • Research and experiment with emerging multi-agent frameworks (e.g., LangChain, AutoGPT, ReAct) to improve efficiency and capability.

Required Skills & Experience:
Education:
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical field.

Experience:
  • 5+ years of experience in developing autonomous systems or intelligent agents, particularly in AI or machine learning contexts.

Technical Skills:
  • Proficiency with agent architectures (e.g., LangChain, AutoGPT, ReAct) and techniques such as task planning, tool-use, and agent coordination.
  • Strong programming skills in Python and experience with AI frameworks for agent-based development.
  • Experience with multi-agent systems, including agent communication, task distribution, and collaborative workflows.
  • Deep understanding of LLMs and their integration with external APIs, tools, and software systems.

Preferred Skills:
  • Familiarity with AI safety and ethics, including preventing unwanted behaviors or biases in autonomous systems.
  • Experience in reinforcement learning (RL) and decision-making frameworks.
  • Familiarity with cognitive architectures or symbolic reasoning for agent systems.

Work Environment:
Candidates must be willing and able to work on-site at our Phoenix, Arizona facility.
Benefits:
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best-physically, mentally, and financially-our company is at its best.
We offer a comprehensive and competitive benefits program that includes:
  • A variety of medical, dental, and vision plans to best fit you and your family's needs.
  • Income-protection programs to assist you financially in case of injury or illness.
  • A 401(k)-retirement savings plan to help secure your financial future.
  • Competitive paid time-off programs and paid holidays to recharge and spend time with loved ones.

Work Location:
5088 W. Innovation Circle, Phoenix, AZ 85083
Equal Opportunity Employer Statement:
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
We encourage all qualified individuals to apply and welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.
#LI-Onsite
TSMC Core Values
At TSMC, we invite talented individuals who share our vision and values to contribute to our continued success. Our core values are the foundation of our culture, guiding every decision and action. We seek applicants who deeply resonate with these principles and embody them in their work:
  • Integrity: Tell the truth. We do not brag. We do not make commitments lightly. Once we make a commitment, we devote ourselves completely to meeting that commitment.
  • Commitment: Employees are dedicated to the company, view the company's success as their own and work diligently to make their best contributions. As commitment is mutual, the Company strives to serve the best interests of its employees.
  • Innovation: Innovation is the wellspring of the Company's growth. It means more than new ideas; it means putting ideas into practice.
  • Customer Trust: We strive to build deep and enduring relationships with our customers, who trust and rely on us to be part of their success over the long term.

(For more details on TSMC's Core Values, please visit:https://www.tsmc.com/english/aboutTSMC/values)