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Agent Based Modeling Jobs in San Ramon, CA (NOW HIRING)

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI ...

Noblesoft Technologies

AI Developer

San Jose, CA · Remote

Collaborate with product teams to translate complex business needs into agent-based automation ... Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering

You.com

Data Engineer

San Francisco, CA

$134K - $162K/yr

Support AI/ML and agent-based applications by preparing and serving high-quality datasets for RAG pipelines and MCP (Model Context Protocol) integrations * Monitor pipeline performance, troubleshoot ...

KLA

Senior AI Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Required : • 5+ years in AI/ML development, with strong exposure to agent-based systems or ... models. • Master's degree or PhD in Computer Science, Electrical Engineering or related field ...

KLA

Senior AI Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Qualifications : Required : • AI/ML development, with exposure to agent-based systems or ... models. • Master's degree or PhD in Computer Science, Electrical Engineering or related field ...

Brahma Consulting Group

Head of AI

Palo Alto, CA

$350K - $500K/yr

Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code generation, physical design tasks automation and hardware problem reasoning. * Lead, mentor, and scale a team ...

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All JobsAgent Based Modeling JobsAgent Based Modeling Jobs in San Ramon, CA

Agent Based Modeling information

See San Ramon, CA salary details

$16

$33

$44

How much do agent based modeling jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for agent based modeling in San Ramon, CA is $33.69, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $44.33 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 job makes $10,000 a month without a degree?

Agent-based modeling is a specialized field often used in research, simulation, and data analysis, but it typically requires advanced education or training. Jobs that can pay $10,000 a month without a degree include roles like real estate investors, successful entrepreneurs, or skilled trades such as certain sales positions or tech freelance work, which rely more on experience, skills, and performance than formal education.

What does agent-based modeling mean?

Agent-based modeling is a computational approach used in agent-based modeling jobs to simulate interactions of autonomous agents within a system. It involves creating models where individual entities follow rules, allowing analysis of complex behaviors and emergent phenomena. Skills in programming, such as Python or NetLogo, are often required for developing and analyzing these models.

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 jobs in the US pay 300,000 a year?

Agent-based modeling is a specialized field often found in roles such as data scientists, quantitative analysts, or research scientists, particularly in industries like finance, technology, or government research. These positions typically require advanced skills in programming, statistical analysis, and simulation tools, and salaries can reach or exceed $300,000 for senior or highly experienced professionals in high-demand sectors. Compensation depends on experience, location, and the complexity of the role.

What's the highest paying modeling job?

In agent-based modeling, high-paying roles are typically found in senior research positions, data science leadership, or consulting roles in industries like finance, defense, or technology. These positions often require advanced skills in programming, simulation tools, and a strong understanding of complex systems, with salaries reaching six figures or more depending on experience and location.
What cities near San Ramon, CA are hiring for Agent Based Modeling jobs? Cities near San Ramon, CA with the most Agent Based Modeling job openings:
Agent Based Modeling jobs near you
Infographic showing various Agent Based Modeling job openings in San Ramon, CA as of June 2026, with employment types broken down into 64% Full Time, 32% Part Time, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $70,071 per year, or $33.7 per hour.
Senior Solution Architect, Data & AI

Senior Solution Architect, Data & AI

Swinerton Incorporated

Concord, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Swinerton rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Compensation Range:
$150,000.00 - $200,000.00 Annual Salary
Job Description Summary:
We are seeking a Senior Solution Architect to design, build, and evolve Swinerton's enterprise data and AI platform, ensuring it is technically strong, AI-ready, and tightly aligned to business outcomes. This role combines hands-on implementation with strategic foresight - guiding the selection and integration of data, AI/ML, and agent platforms to create scalable, trusted foundations that support future growth and innovation.
Job Description:
Essential Responsibilities:
Enterprise Data & AI Architecture Design & Decision-Making: Define, review, and refine data and AI architecture designs to support analytics, AI/ML, and agent-based use cases. Participate in architecture discussions and decisions to ensure alignment with enterprise architecture standards, security requirements, and business priorities.
AI/ML and Agent Platform Design & Enablement: Design and review platform components supporting AI/ML and agent-based solutions, including model management, feature stores, vector and graph databases, metadata management, and orchestration frameworks. Guide weekly technical decisions related to platform scalability, reuse, and integration.
Solution Design Collaboration & Reviews: Work with business partners, data engineers, data scientists, and analysts to translate requirements into architectural blueprints and implementation plans. Participate regularly in design sessions, solution reviews, and tradeoff discussions to ensure secure and scalable outcomes.
AI-Ready Data Architecture Enablement: Collaborate with engineering and BTech teams to ensure data is discoverable, trusted, and structured to support AI and analytics use cases. Review approaches for metadata, governance integration, unstructured data handling, and orchestration patterns.
Hands-On Architectural Implementation & Validation: Perform hands-on architectural implementation and validation to de-risk designs and unblock delivery teams.
Architecture Governance & Design Reviews: Lead recurring architecture reviews and design checkpoints. Maintain and apply architectural standards, reference patterns, and architectural decision records to guide consistent delivery across initiatives.
Cross-Functional Advisory & Stakeholder Engagement: Serve as an ongoing technical advisor to cross-functional teams through regular meetings, reviews, and working sessions. Provide guidance on architectural options, risks, and tradeoffs.
Architecture Documentation & Knowledge Sharing: Create and update architecture diagrams, standards, and reference materials as part of ongoing solution work. Share architectural guidance with teams to support reuse and consistency.
Technology Evaluation & Design Exploration: Evaluate tools, patterns, or approaches relevant to active or upcoming initiatives. Review vendor capabilities, platform features, or architectural patterns to inform near-term and future solution decisions.
Continuous Architecture Improvement: Identify and raise opportunities to simplify designs, reduce technical debt, or modernize platform approaches as part of regular solution work.
Minimum Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in data architecture, solution architecture, or enterprise architecture roles.
  • Strong architectural and hands-on experience with modern data platforms, cloud infrastructure, analytics ecosystems, and agent-based systems.
  • Experience architecting solutions across structured and unstructured data, including real-time and sensor-driven use cases (e.g., IIoT, geospatial, drone data).
  • Hands-on experience designing and implementing solutions on modern data platforms (e.g., Databricks, Snowflake, Azure Data Services, or similar).
  • Hands-on experience enabling AI/ML and agent-based solutions within enterprise platforms, including model management, agent orchestration, and lifecycle considerations (e.g., LangChain, AutoGen, Semantic Kernel, Microsoft AI Foundry).
  • Strong communication and stakeholder engagement skills.

Summary of Benefits:
This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.
Anticipated Job Application Deadline:
06/12/2026

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