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Agent Based Modeling Jobs in Manchester, NH (NOW HIRING)

Erm

Right of Way (ROW) Agent (Field Based)

Londonderry, NH · 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 ...

ERM

Right of Way (ROW) Agent (Field Based)

Londonderry, NH · 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 ...

EnerSys

Senior Finance AI & Automation Developer

Amherst, NH · On-site +1

$95K - $119K/yr

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... based on project volume and scope Other Skills : * Creative in finding solutions and overcoming ...

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All JobsAgent Based Modeling JobsAgent Based Modeling Jobs in Manchester, NH

Agent Based Modeling information

See Manchester, NH salary details

$14

$30

$39

How much do agent based modeling jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for agent based modeling in Manchester, NH is $30.01, according to ZipRecruiter salary data. Most workers in this role earn between $23.46 and $39.47 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 popular job titles related to Agent Based Modeling jobs in Manchester, NH? For Agent Based Modeling jobs in Manchester, NH, the most frequently searched job titles are:
Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Manchester, NH as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,431 per year, or $30 per hour.
Enterprise AI Architect

Enterprise AI Architect

Southern New Hampshire University

Manchester, NH • On-site, Remote

$68.25 - $88/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Southern New Hampshire University rating

8.8

Company rating: 8.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

40th of 555 rated colleges and universities

Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
The opportunity
The Enterprise AI Architect reports to the Vice President of Enterprise Architecture and serves as the technical and strategic lead for AI capabilities across the university's digital ecosystem. This role ensures AI solutions align to enterprise strategy, architecture standards, and business priorities while delivering secure, scalable, and ethical outcomes.
The architect partners across business, IT, and data domains to define and implement AI-enabled capabilities-including generative AI, machine learning, automation, and advanced analytics-integrated into core enterprise platforms (e.g., Salesforce, ServiceNow, Workday, D2L, Banner, O365).
You will also bridge the gap between Customer Success, Product, and Engineering teams, helping define how AI transforms collaboration at scale-across the SNHU's broader tech ecosystem.
Key Relationships:
  • Enterprise Architecture
  • Application Development and Engineering
  • Data & Analytics
  • Cloud and Infrastructure
  • Cybersecurity
  • Product Management
  • Enterprise Applications (Salesforce, Workday, Banner, D2L, ServiceNow, Microsoft 365)
  • Integration and Platform Teams
  • AI Engineering Team

You will work 100% remotely from any of our approved states. #LI-Remote
What You'll Do:
  • Define and evolve enterprise AI architecture, standards, reference models and implementation guidelines to support consistent solution delivery across business functions.
  • Align AI initiatives to enterprise strategies, roadmaps, and business priorities.
  • Identify and prioritize AI opportunities that drive student success and operational efficiency.
  • Design scalable AI platforms and solutions across data, application, and technology domains.
  • Provide guidance on how AI, ML, and automation will improve current and future-state architectures.
  • Lead design and implementation of AI-powered solutions (e.g., LLMs, agents, automation, and analytics).
  • Integrate AI capabilities with enterprise applications and data platforms.
  • Guide evaluation and selection of AI/ML models, frameworks, and vendors.
  • Establish reusable patterns, APIs, and integration approaches.
  • Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.
  • Establish AI governance, including responsible AI, security, privacy, and compliance (FERPA, HIPAA, GDPR).
  • Establish lifecycle management practices (MLOps/LLMOps, model monitoring, drift detection, retraining).
  • Implement performance, bias, and risk monitoring frameworks.
  • Ensure secure AI architecture (e.g., data protection, isolation, adversarial defense).
  • Partner with business, product, data, and engineering teams to provide AI solutions.
  • Provide architectural guidance to architects and delivery teams.
  • Facilitate workshops, POCs, demos and AI adoption projects identifying viable opportunities where AI can be a positive differentiator.
  • Mentor teams on AI best practices, patterns, and frameworks

What We're Looking For:
  • 15+ years in information Technology. technology, including:
  • 8+ years in enterprise or solution architecture.
  • 3+ years in AI/ML solution design and delivery.
  • Experience integrating AI solutions with enterprise platforms (e.g., Salesforce, ServiceNow, Workday, D2L, Banner).
  • Experience with enterprise architecture frameworks (e.g., TOGAF, Zachman) and Agile delivery.
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), LLMs, and agent-based architectures (e.g., RAG, AutoGPT, LangChain).
  • Experience with Cloud platforms (Azure, AWS, GCP) and data/AI pipeline design.
  • Experience with APIs, microservices, system integration, and enterprise data management.
  • Experience with ML Ops/LLM Ops practices including CI/CD, monitoring, and deployment patterns across (Azure, AWS, GCP).
  • Experience with enterprise standards for principles, patterns and guidelines on the use of AI within the SNHU environment. Inclusive of alignment with Responsible AI standards and Sustainability goals.

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The annual pay range for this position is $137,839.00 - $220,582.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $152,311.00 - $206,068.00.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get:
  • High-quality, low-deductible medical insurance
  • Low to no-cost dental and vision plans
  • 5 weeks of paid time off (plus almost a dozen paid holidays)
  • Employer-funded retirement
  • Free tuition program
  • Parental leave
  • Mental health and wellbeing resources

What Southern New Hampshire University employees say

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