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Agent Based Modeling Jobs in Fishers, IN (NOW HIRING)

ERM

Right of Way (ROW) Agent ( Field Based)

Indianapolis, IN · On-site

$24.25 - $33/hr

The ROW Agent will be responsible for the acquisition of land, land rights, licenses, leases ... We call this capability our "boots to boardroom" approach for its comprehensive service model that ...

ERM

Right of Way (ROW) Agent ( Field Based)

Indianapolis, IN

$26.50 - $35.75/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 ...

ERM

Right of Way (ROW) Agent (Field Based)

Indianapolis, IN · On-site +1

$34.19 - $40.20/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 ...

PLACE

Real Estate Agent

Pendleton, IN · On-site

$50K - $99K/yr

Eligibility for health insurance benefits based on performance * Potential to earn PLACE equity by ... models so you can focus on serving clients and building lasting success. Our core values are built ...

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Agent Based Modeling information

See Fishers, IN salary details

$13

$28

$37

How much do agent based modeling jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for agent based modeling in Fishers, IN is $28.22, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $37.12 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Agent Based Modeling jobs in Fishers, IN?

For Agent Based Modeling jobs in Fishers, IN, the most frequently searched job titles are:

What cities near Fishers, IN are hiring for Agent Based Modeling jobs?

Cities near Fishers, IN with the most Agent Based Modeling job openings:

Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Fishers, IN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $58,690 per year, or $28.2 per hour.

Senior Manager, AI Engineering Platforms

Indianapolis, IN • On-site

Huntington
Banking and Credit Intermediation • 10K+ employees
Learn more about Huntingtonexternal

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

Job description

DescriptionSenior Manager, AI Engineering Platforms

Building the Google-powered foundation that enables enterprise AI at scale.

Lead the strategy, engineering, and operation of Huntington's AI Engineering Platform on Google Cloud, delivering the shared capabilities, services, guardrails, and developer experiences that enable teams across the enterprise to build, deploy, govern, and operate AI solutions safely and at scale.

Responsible for the enterprise AI engineering ecosystem including Vertex AI, Gemini Enterprise Agent Platform, agent development services, model management, knowledge and retrieval capabilities, memory and state services, runtime execution, observability, platform governance, and engineering enablement. This role drives the evolution of Huntington's AI Engineering paved road, transforming AI from isolated solutions into reusable enterprise capabilities that accelerate innovation while maintaining security, resiliency, and regulatory compliance.

Partner closely with Architecture, Engineering, Data, Infrastructure, Security, Risk, and Product leaders to define platform strategy, establish engineering standards, and operationalize enterprise AI capabilities across the organization.

Key ResponsibilitiesAI Platform Strategy & Leadership
  • Define and execute the vision, strategy, and roadmap for Huntington's AI Engineering Platform on Google Cloud.
  • Lead adoption and operationalization of Vertex AI and Gemini Enterprise Agent Platform capabilities.
  • Establish reusable platform services, engineering standards, and reference architectures that accelerate AI delivery across the enterprise.
  • Evaluate and incorporate emerging Google AI capabilities into the enterprise platform roadmap.
Platform Capabilities Ownership

Lead enterprise capabilities including:

  • Agent Development & Orchestration
  • Model & Reasoning Services
  • Knowledge & Retrieval
  • Memory & State Management
  • Runtime, Tools & Execution
  • Governance, Security & Observability
Google Cloud AI Platform Services

Provide strategic and operational leadership for capabilities leveraging:

  • Vertex AI and Gemini Enterprise Agent Platform
  • Agent Studio and Agent Development Kit (ADK)
  • Model Garden and Gemini model services
  • Agent Runtime and Code Execution
  • Memory Bank, Sessions, and Context Services
  • Vertex AI Search and Vector Search
  • BigQuery-powered AI and knowledge services
  • AI observability, monitoring, security, and governance services
Engineering Enablement
  • Create the AI Engineering paved road through reusable frameworks, accelerators, SDKs, and engineering standards.
  • Improve developer productivity through platform automation and self-service capabilities.
  • Drive engineering adoption and maturity across AI and agent-based solution teams.
Platform Operations & Reliability
  • Establish enterprise-grade operational capabilities, observability standards, and support models.
  • Ensure platform reliability, scalability, security, and compliance.
  • Drive cost optimization, operational excellence, and continuous platform improvement.
Success Looks Like
  • Faster delivery of AI-powered business capabilities.
  • Increased adoption of reusable platform services.
  • Improved developer productivity and engineering efficiency.
  • Secure, governed, and compliant AI operations.
  • Reduced duplication across AI initiatives.
  • Scalable enterprise AI capabilities built on Google Cloud.

Basic Qualifications:

  • Bachelor's Degree
  • Minimum 10 years of related technology experience
    • Minimum 5 years of experience leading engineering, platform, or technology delivery teams
    • Minimum 3 years of experience building, operating, or modernizing cloud-based platforms
  • Experience leading large-scale technology initiatives in a complex, highly regulated environment
    • Experience developing and executing technology roadmaps, platform strategies, and target-state architecture
    • Experience managing cross-functional teams, vendors, and strategic technology partners
    • Experience establishing and operating highly available, secure, and resilient technology services
  • Experience with software engineering, platform engineering, DevOps, CI/CD, APIs, and cloud-native architectures
    • Experience driving operational excellence through observability, monitoring, incident management, and service reliability practices
  • Strong stakeholder management, communication, and influencing skills with the ability to engage technical and non-technical leaders
    • Demonstrated experience building, coaching, and developing high-performing engineering teams
Preferred Qualifications
  • Experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Cloud Run, Pub/Sub, AlloyDB, and cloud-native platform services
  • Experience with generative AI, agentic systems, AI/ML platforms, and enterprise AI solution delivery
  • Experience with Vertex AI, Gemini Enterprise Agent Platform, Agent Development Kit (ADK), Agent Runtime, and AI governance capabilities
  • Experience implementing enterprise AI capabilities such as:
    • Agent Development & Orchestration
    • Model & Reasoning Services
    • Knowledge & Retrieval
    • Memory & State Management
    • Runtime & Execution
    • Governance & Observability
  • Experience developing enterprise platforms, paved roads, reusable services, frameworks, and engineering accelerators
  • Experience working with enterprise architecture, information security, risk, compliance, and regulatory teams
  • Financial services or other highly regulated industry experience preferred


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

93,000.00 - 189,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).


Huntington is an Equal Opportunity Employer.


Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.


Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.


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