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Agent Based Modeling Jobs in Chicago, IL (NOW HIRING)

Senior AI Financial Operations Analyst

Chicago, IL ยท On-site

$88K - $109K/yr

... based consumption models, GPU infrastructure, and AI developer tooling. This role requires a blend ... Familiarity with AI agent architectures, orchestration frameworks, and emerging AI operational ...

GenAI Product Builder

Chicago, IL ยท Hybrid

$110K - $140K/yr

Design and implement agent-based solutions - from workflow automation to patient communication ... Experience and proven track record applying skills in systems thinking, domain modeling, problem ...

GenAI Product Builder

Chicago, IL ยท On-site

$110K - $140K/yr

Design and implement agent-based solutions - from workflow automation to patient communication ... Experience and proven track record applying skills in systems thinking, domain modeling, problem ...

Work extensively with Large Language Models (LLMs) to build and refine AI-powered features ... agent-based systems. * Ability to stay up to date with new and upcoming technologies around AI ...

Apply hands-on expertise to build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions * Design AI platform capabilities including model selection, LLM routing ...

Apply hands-on expertise to build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions * Design AI platform capabilities including model selection, LLM routing ...

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Agent Based Modeling information

See Chicago, IL salary details

$15

$31

$41

How much do agent based modeling jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for agent based modeling in Chicago, IL is $31.05, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $40.87 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 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 are the most commonly searched types of Agent Based Modeling jobs in Chicago, IL? The most popular types of Agent Based Modeling jobs in Chicago, IL are:
What are popular job titles related to Agent Based Modeling jobs in Chicago, IL? For Agent Based Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Chicago, IL look for? The top searched job categories for Agent Based Modeling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Agent Based Modeling jobs? Cities near Chicago, IL with the most Agent Based Modeling job openings:
Senior AI Financial Operations Analyst

Senior AI Financial Operations Analyst

Vizient, Inc.

Chicago, IL โ€ข On-site

$88K - $109K/yr

Other

Posted 24 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the financial governance, operational visibility, and consumption optimization of Vizient's enterprise AI platforms and generative AI services. You will serve as a key partner in establishing AI FinOps capabilities that enable responsible, scalable, and cost-effective adoption of artificial intelligence technologies across the organization.

Reporting to technology leadership, you will drive AI financial management practices across cloud AI services, agentic platforms, token-based consumption models, GPU infrastructure, and AI developer tooling. This role requires a blend of financial acumen, technical understanding, and strategic partnership, with the ability to translate complex AI consumption patterns into actionable insights that optimize cost, improve operational efficiency, and maximize business value.

Responsibilities

  • Lead AI financial operations across enterprise AI platforms, monitoring and managing cloud-based AI spend across services such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI, and other emerging AI technologies.
  • Track, analyze, and optimize AI consumption metrics including token utilization, inference costs, GPU usage, model hosting expenses, vector database consumption, embeddings, and AI agent execution patterns.
  • Develop forecasting models and financial planning processes to support AI platform growth, capacity management, and long-term investment strategies.
  • Establish and maintain AI showback and chargeback methodologies that provide transparency into AI consumption and business value realization.
  • Define and implement governance standards, financial guardrails, and operational controls to ensure responsible and cost-effective AI adoption across the enterprise.
  • Partner closely with Security, Risk, Legal, Architecture, Cloud Infrastructure, Data & Analytics, and AI Engineering teams to align AI governance practices with organizational policies and strategic objectives.
  • Provide visibility into enterprise AI tooling adoption, including developer productivity tools, generative AI platforms, and AI orchestration solutions, while identifying and mitigating unsanctioned or shadow AI usage.
  • Collaborate with engineering teams to optimize AI workloads through improvements in prompt efficiency, token utilization, model selection strategies, inference routing, caching approaches, batching techniques, and GPU resource allocation.
  • Evaluate hosted and self-managed AI infrastructure options, providing cost optimization recommendations and economic analysis for AI architectures and agent-based frameworks.
  • Develop executive dashboards, reporting, and analytics that communicate AI consumption trends, financial performance, operational efficiency, and return on investment.
  • Establish AI unit economics and performance metrics, tracking costs and value realization across use cases, workflows, business capabilities, and enterprise initiatives.
  • Present financial insights, optimization opportunities, and strategic recommendations to executive leadership and key stakeholders.
  • Support enterprise AI investment planning, governance programs, and the development of scalable AI operating models and financial management capabilities.
  • Champion continuous improvement by leveraging data-driven insights to enhance AI financial governance, reporting processes, and operational effectiveness.

Qualifications

  • Bachelor's degree in Finance, Accounting, Information Technology, Computer Science, Data Analytics, Business, or a related field preferred.
  • Minimum of 5 or more years of experience in Cloud FinOps, AI Infrastructure, Cloud Operations, Data Platforms, Technology Finance, or a related discipline.
  • Experience working with public cloud AI services, generative AI platforms, and cloud-based consumption models.
  • Strong understanding of AI pricing and consumption structures, including token-based, inference-based, and GPU-based cost models.
  • Experience analyzing cloud financial data, operational telemetry, utilization trends, and technology spending patterns.
  • Demonstrated ability to build forecasting models, perform financial analysis, and develop executive-level reporting and dashboards.
  • Strong analytical and problem-solving skills with the ability to identify optimization opportunities and quantify business impact.
  • Experience collaborating with engineering, architecture, infrastructure, and business stakeholders to drive technology optimization initiatives.
  • Excellent communication and presentation skills with the ability to translate complex technical and financial concepts for executive audiences.
  • Experience with Azure OpenAI, OpenAI Enterprise, AWS Bedrock, Google Vertex AI, Azure AI Foundry, or similar AI platforms preferred.
  • Experience utilizing Cloudability, Azure Cost Management, Datadog, Power BI, or comparable analytics and financial management tools preferred.
  • Familiarity with AI agent architectures, orchestration frameworks, and emerging AI operational technologies preferred.
  • FinOps Foundation certification, cloud platform certifications, or related professional credentials preferred.
  • Experience managing GPU infrastructure or optimizing AI workloads for performance and cost efficiency preferred.
  • Understanding of AI governance frameworks, responsible AI practices, and enterprise risk management considerations preferred.
  • Strong knowledge of cloud economics, technology financial management, and AI operational best practices.
  • Ability to influence cross-functional teams and drive alignment across diverse stakeholder groups while balancing innovation, governance, and financial accountability.

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Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.