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Agent Based Modeling Jobs in Houston, TX (NOW HIRING)

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency. NLP & Agent-Based AI Applications * Build LLM-powered solutions using prompt ...

1 point system

Sr. Full-Stack

Houston, TX · On-site

Agent-based architectures / "Agentic AI" * Experience building internal platforms or developer frameworks * Exposure to model management and automation pipelines * Familiarity with memory integration ...

Galent

GenAI Agentic AI Developer

Houston, TX · On-site

Build and support agent-based solutions that convert business requirements documents (BRDs ... Microsoft-based model access environments We are an Equal Opportunity Employer. All qualified ...

SLB

Artificial Intelligence Engineer

Houston, TX · On-site

$99K - $133K/yr

Proven experience building and deploying agentic AI systems (multi-agent, tool-use, reasoning pipelines) in production. * Experience with cloud-based AI infrastructure, model operations (Model Ops ...

New

Arva Intelligence

AI Software Engineer

Houston, TX · On-site

$115K - $145K/yr

... agent-based systems using frameworks such as LangGraph and LangChain, and you will also build the ... Model architecture - Familiarity with Mixture-of-Experts (MoE) architectures, model routing, and ...

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Agent Based Modeling information

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How much do agent based modeling jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for agent based modeling in Houston, TX is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $37.88 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 Houston, TX?

For Agent Based Modeling jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Agent Based Modeling jobs in Houston, TX look for?

The top searched job categories for Agent Based Modeling jobs in Houston, TX are:

What cities near Houston, TX are hiring for Agent Based Modeling jobs?

Cities near Houston, TX with the most Agent Based Modeling job openings:

Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $59,879 per year, or $28.8 per hour.

Principal Scientist, Data

Augment

Houston, TX

$80 - $83/hr

Full-time

Re-posted 14 days ago

Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.

Key Responsibilities

AI/ML Model Development

  • Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with Snowflake, AWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person

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