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Agent Based Modeling Jobs in Georgia (NOW HIRING)

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Select and evaluate models (hosted vs open-source) based on use case constraints * Agent-Based Systems (AgentCore) * Design and build agentic workflows capable of multi-step reasoning and decision ...

Experience incorporating AI, automation, or agent-based workflows into analytics or operations * Experience with product or pod-based delivery models, including working with globally distributed and ...

Senior AI Engineer

Atlanta, GA ยท On-site

$100K - $138K/yr

Select and evaluate models (hosted vs open-source) based on use case constraints * Agent-Based Systems (AgentCore) * Design and build agentic workflows capable of multi-step reasoning and decision ...

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA ยท On-site

$49 - $67.50/hr

The ideal candidates will have strong hands-on experience in Python, MCP-based systems, and working with large language models in multi-agent environments. Key Responsibilities * Design and develop ...

... agent-based applications such as conversational agents, research agents, and multi-step workflows ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

Senior Machine Learning Engineer

Atlanta, GA ยท On-site +1

$100K - $138K/yr

You will have opportunities to adapt and fine-tune models, explore representation learning and ranking approaches, experiment with agent-based architectures, and bring new ideas from the rapidly ...

AI LLM Engineer

Atlanta, GA ยท On-site +1

... agent based automation frameworks, to transform how the Analytics & Reporting team delivers ... Develop Python based pipelines for model training, evaluation, and deployment * Apply prompt ...

The primary objective of this role is to leverage AI, automation, and agent-based solutions to ... Translate deep understanding of VCA's business model into a clear, evolving roadmap of baseline ...

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Agent Based Modeling information

See Georgia salary details

$12

$25

$33

How much do agent based modeling jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for agent based modeling in Georgia is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $33.51 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 Georgia? For Agent Based Modeling jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Georgia look for? The top searched job categories for Agent Based Modeling jobs in Georgia are:
What cities in Georgia are hiring for Agent Based Modeling jobs? Cities in Georgia with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in Georgia as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $52,945 per year, or $25.5 per hour.

Other

Posted 5 days ago


Job description

We are seeking a highly skilled Agentic AI / Semantic Solutions Architect to design and prototype advanced agent-layer architectures that operate on enterprise semantic data platforms. This role sits at the intersection of LLM orchestration, knowledge graphs, and semantic data modeling, focusing on building POC-level intelligent agent solutions rather than production-scale systems.

The ideal candidate will have deep expertise in agent-based AI systems, GraphRAG architectures, and context engineering, with the ability to design frameworks where autonomous agents can effectively interpret and reason over structured knowledge.

Key Responsibilities

  • Architect and design agentic AI workflows that consume outputs from semantic layers, including knowledge graphs, ontologies, and metadata catalogs
  • Develop and prototype GraphRAG pipelines that combine graph traversal with vector-based retrieval for accurate, domain-grounded responses
  • Define and implement context engineering strategies, including metadata injection, chunking, and semantic optimization for LLM prompts
  • Design and build Model Context Protocol (MCP) server patterns to enable seamless interaction between agents and semantic data systems
  • Develop LLM orchestration workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or AutoGen
  • Build pipelines for automated metadata extraction and semantic tagging using NLP and LLM-based approaches
  • Collaborate with Semantic Data Architects to ensure ontologies and graph structures are optimized for agent traversal and querying
  • Prototype agent-based solutions for business use cases such as:
    • Credit risk analysis
    • Customer data onboarding workflows

Mandatory Skills

  • Strong expertise in Agentic AI architecture (multi-agent systems, tool usage, planning loops)
  • Hands-on experience with GraphRAG design (hybrid graph + vector retrieval systems)
  • Experience in LLM orchestration frameworks:
    • LangChain, LangGraph, LlamaIndex, or AutoGen
  • Deep understanding of context engineering techniques (chunking, windowing, semantic compression)
  • Experience designing and integrating Model Context Protocol (MCP)
  • Strong knowledge of semantic systems such as:
    • Knowledge graphs
    • Ontologies
    • Metadata-driven architectures

Nice to Have Skills

  • Experience with Google Vertex AI (Agent Builder / Search)
  • Knowledge of Google Cloud Platform Spanner Graph
  • Familiarity with metadata platforms like Collibra or Google Dataplex
  • Experience with vector databases:
    • Pinecone, Weaviate, pgvector, Vertex AI Vector Search
  • Prior experience in regulated domains such as financial services or legal systems