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Agent Based Modeling Jobs in Atlanta, GA (NOW HIRING)

ERM

Utility Agent (Field Based)

Atlanta, GA

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

Utility Agent (Field Based)

Duluth, GA · On-site

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 ...

NLB Services

Program Manager II

Atlanta, GA · On-site

... AI/agent-based enablement. Translate business process insights into structured requirements ... Experience with process mapping, workflow analysis, and process modeling techniques. Strong ...

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

The role spans data processing, feature engineering, model development, optimization modeling, and ... Familiarity with LLMs, generative AI, and agent-based systems * MS may qualify with 1-2 years; BS ...

New

Daimler

AI Productization Engineer

Atlanta, GA · On-site

Experience supporting AI and agent-based solutions in production. * Caching technologies (Redis ... model. EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that ...

corpay

Senior AI Integration Engineer - Contract

Atlanta, GA · On-site

$100K - $134K/yr

NET-based Model Context Protocol (MCP) and API connectivity framework that enables secure, scalable ... Experience developing MCP servers, AI tool-calling frameworks, agent orchestration platforms, or ...

United Airlines

FSSBU - Gen AI Lead

Atlanta, GA

... agent based intake systems with validation decisioning orchestration and human in the loop controls ... Guide model selection prompt strategies fine tuning and performance optimization Mentor AI ...

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All JobsAgent Based Modeling JobsAgent Based Modeling Jobs in Atlanta, GA

Agent Based Modeling information

See Atlanta, GA salary details

$14

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How much do agent based modeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for agent based modeling in Atlanta, GA is $28.99, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $38.12 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 Atlanta, GA? For Agent Based Modeling jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Atlanta, GA look for? The top searched job categories for Agent Based Modeling jobs in Atlanta, GA are:
Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Atlanta, GA 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 $60,298 per year, or $29 per hour.

Lead Risk Data Scientist & ML Engineer

Worldpay

Atlanta, GA • On-site

Full-time

Re-posted yesterday

Job description

Job Description
Ready to take your career global?
Make your mark at one of the biggest names in payments. We are seeking a hands-on Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud detection and risk models. This role combines deep data science expertise with practical AI/agentic workflow experience and the infrastructure knowledge needed to ship at scale.
What You'll Own
In this role, you'll own the end-to-end delivery of detection models and AI-assisted workflows that power fraud, credit, and AML risk operations. You'll drive model performance through the full lifecycle, from design and validation through production deployment and continuous optimization. You'll translate regulatory requirements and operational needs into detection strategies and technical execution plans, partner across Risk, Compliance, and Technology to ensure alignment, and lead project teams through complex, ambiguous detection challenges. This is a hands-on role that combines deep technical leadership with pragmatic problem-solving in a small, high-impact team.
Model Development & Deployment (End-to-End)
  • Own the full lifecycle of ML models: design, development, validation, deployment, and serving in production
  • Lead model performance monitoring and continuous refinement using production data and investigation outcomes
  • Ensure models are explainable, auditable, and aligned with regulatory expectations
  • Design and oversee scalable batch and real-time data pipelines supporting model development and serving

AI & Agentic Workflows
  • Design and deploy AI-assisted analyst workflows using LLMs and agentic frameworks
  • Guide the development of agent-based systems that augment human decision-making in risk operations
  • Work at the pilot/proof-of-concept stage, establishing best practices for scale

Detection Strategy & Performance
  • Define and refine detection strategies based on emerging fraud patterns and regulatory requirements
  • Maintain and monitor key performance metrics (precision, recall, false positives, alert quality)
  • Influence tradeoff decisions between detection coverage, operational cost, and false positive rates

Governance & Regulatory Alignment
  • Define governance standards for model development, validation, documentation, and change management
  • Ensure compliance with regulatory expectations (BSA/AML, OFAC, FinCEN, SR 11-7)
  • Partner with Model Risk Management and Compliance to support validation and regulatory reviews

Cross-Functional Partnership
  • Serve as the primary technical partner to Fraud Operations, Compliance, and Technology teams
  • Translate regulatory and operational requirements into technical execution plans
  • Drive alignment across teams to enable effective detection capability implementation

Team Leadership & Project Ownership
  • Lead cross-functional project teams through ML model and AI workflow development, from conception to deployment
  • Establish clear priorities, performance expectations, and delivery accountability for project work
  • Provide technical guidance and mentorship to data scientists and engineers executing on risk initiatives
  • Build and strengthen team capabilities across detection modeling, data engineering, and AI/agentic systems

What you'll bring:
Experience
  • 7+ years in data science, machine learning or MLOps
  • Proven experience developing, deploying, and maintaining detection models (fraud, AML, or credit risk) in production environments
  • Hands-on experience with AI-assisted workflows, LLMs, and agentic frameworks (including pilot-stage deployments)
  • Experience in regulated financial services or fintech environments preferred
  • Exposure to model risk management frameworks (SR 11-7) and regulatory interactions

Technical & Domain Expertise
  • Strong proficiency in Python and SQL
  • MLOps experience: Git, GitHub Actions, CI/CD practices, model monitoring, retraining pipelines, infrastructure automation
  • Hands-on experience with data science platforms (Databricks, Snowflake, AWS SageMaker)
  • AWS ecosystem expertise: SageMaker, Glue, Lambda, EventBridge, and related services
  • Familiarity with LLM and agentic frameworks: foundational models (Claude, GPT, etc.), agent orchestration tools (AWS AgentCore, LangChain, etc.)
  • Understanding of fraud typologies, AML transaction monitoring methodologies, and detection system design

Leadership Profile
  • Resourceful and versatile: thrives in a small, fast-moving team; comfortable wearing multiple hats and delivering with constrained resources
  • Startup mentality: pragmatic problem-solver who ships solutions; bias toward execution and measurable outcomes
  • Combines technical depth with collaborative leadership. Guides project teams through ambiguous problems and drives clarity, structure, and delivery
  • Collaborates effectively across Risk, Compliance, and Technology functions; comfortable operating in ambiguity and translating strategy into action

About the team
Our inclusive and global teams win together every day. We're proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections - it's unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We're curious and innovative -always finding better ways to deliver impact. We empower each other to make decisions, and it's our passion that drives excellence in everything we set out to do.
#LI-BJ1
EEOC Statement
Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

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