... agent-based solutions and use cases • Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities • Build and manage programs for partner ...
... agent-based solutions and use cases • Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities • Build and manage programs for partner ...
... scale agent-based solutions and use cases Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities Build and manage programs for partner ...
... scale agent-based solutions and use cases Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities Build and manage programs for partner ...
Staff Engineer - Applied AI
Palo Alto, CA · On-site
You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...
Staff Engineer - Applied AI
Palo Alto, CA · On-site
You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...
You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...
You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a ... Establish and model engineering best practices for reliability, interpretability, safety ...
... agent-based platforms. In This Role, You Will * Design and build AI-driven voice and chat agents ... Experiment with and integrate modern voice and language models, tuning for enterprise reliability ...
... agent-based platforms. In This Role, You Will * Design and build AI-driven voice and chat agents ... Experiment with and integrate modern voice and language models, tuning for enterprise reliability ...
... agent-based platforms. In This Role, You Will * Design and build AI-driven voice and chat agents ... Experiment with and integrate modern voice and language models, tuning for enterprise reliability ...
Quick apply
... agent-based platforms. In This Role, You Will * Design and build AI-driven voice and chat agents ... Experiment with and integrate modern voice and language models, tuning for enterprise reliability ...
Staff Security Engineer
San Francisco, CA · On-site
$200K - $260K/yr
Familiarity with AI-assisted development workflows and an interest in the security implications of agent-based systems is a strong plus. What we offer: * Hybrid Work Model: Based in San Francisco ...
Staff Security Engineer
San Francisco, CA · On-site
$200K - $260K/yr
Familiarity with AI-assisted development workflows and an interest in the security implications of agent-based systems is a strong plus. What we offer: * Hybrid Work Model: Based in San Francisco ...
Transformative AI Research Economist, Economic Research
San Francisco, CA · On-site
$300K - $405K/yr
Computational methods, agent-based modeling, or large-scale simulation * Income distribution and inequality * Using large language models in the research workflow * Technical skills including:
Transformative AI Research Economist, Economic Research
San Francisco, CA · On-site
$300K - $405K/yr
Computational methods, agent-based modeling, or large-scale simulation * Income distribution and inequality * Using large language models in the research workflow * Technical skills including:
Senior Machine Learning Engineer
San Francisco, CA · On-site +1
$123K - $169K/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 ...
Senior Machine Learning Engineer
San Francisco, CA · On-site +1
$123K - $169K/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 ...
... models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration * Design evaluation frameworks using LLM-based ...
... models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration * Design evaluation frameworks using LLM-based ...
This role focuses on designing, orchestrating, and operationalizing agent-based systems that ... model routing Ensure reliability, operational stability, and measurable impact of AI-powered ...
This role focuses on designing, orchestrating, and operationalizing agent-based systems that ... model routing Ensure reliability, operational stability, and measurable impact of AI-powered ...
You will work directly with Venkat (the CTO) to optimize our agent-based retrieval. You will be expected to help with engineering across the stack, including model architecture research, latency ...
You will work directly with Venkat (the CTO) to optimize our agent-based retrieval. You will be expected to help with engineering across the stack, including model architecture research, latency ...
Forward Deployed Engineer
Palo Alto, CA · On-site +1
Implement agent-based AI solutions using the Workato Agentic AI platform * Implement intelligent ... language models (LLMs) * Develop advanced prompting, memory management, and behavior-planning ...
Quick apply
Forward Deployed Engineer
Palo Alto, CA · On-site +1
Implement agent-based AI solutions using the Workato Agentic AI platform * Implement intelligent ... language models (LLMs) * Develop advanced prompting, memory management, and behavior-planning ...
AI Consultant
Foster City, CA · On-site
$100 - $125/hr
... workflows, and agent-based experiences. Emphasis is on speed, usability, and learning not ... Use AWS Bedrock & Agentcore to build AI agents with foundation models, agents, and knowledge ...
AI Consultant
Foster City, CA · On-site
$100 - $125/hr
... workflows, and agent-based experiences. Emphasis is on speed, usability, and learning not ... Use AWS Bedrock & Agentcore to build AI agents with foundation models, agents, and knowledge ...
Staff Software Engineer, Simulator Evaluation
San Francisco, CA · On-site +1
$238K - $302K/yr
Familiarity with the validation of Generative AI (LLMs, Diffusion models) and/or classical simulation systems (Agent-based modeling, heuristics). * Experience driving technical roadmaps for large ...
Staff Software Engineer, Simulator Evaluation
San Francisco, CA · On-site +1
$238K - $302K/yr
Familiarity with the validation of Generative AI (LLMs, Diffusion models) and/or classical simulation systems (Agent-based modeling, heuristics). * Experience driving technical roadmaps for large ...
Founding Engineer: Enterprise Integrations
San Francisco, CA · On-site
$122K - $164K/yr
Experience integrating or building workflows around large language models (LLMs) and agent-based platforms. * Experience with AWS and PostgreSQL for cloud and data storage. * Experience owning end-to ...
Founding Engineer: Enterprise Integrations
San Francisco, CA · On-site
$122K - $164K/yr
Experience integrating or building workflows around large language models (LLMs) and agent-based platforms. * Experience with AWS and PostgreSQL for cloud and data storage. * Experience owning end-to ...
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable. * Familiarity with data visualization tools (e.g., Tableau, Power BI). * Strong program ...
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable. * Familiarity with data visualization tools (e.g., Tableau, Power BI). * Strong program ...
Data Engineer
San Francisco, CA · On-site +1
$185K - $225K/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 ...
Data Engineer
San Francisco, CA · On-site +1
$185K - $225K/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 ...
... models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration * Design evaluation frameworks using LLM-based ...
... models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration * Design evaluation frameworks using LLM-based ...
Research Scientist Intern - TikTok Search / Generative AI (LLM) - Global Frontier Tech Recruitmen...
San Jose, CA · On-site
$60/hr
Drive innovation in large model-powered search architecture and enable agent-based AI search systems. - Business Value: Significantly improve search relevance and user satisfaction, strengthening ...
Research Scientist Intern - TikTok Search / Generative AI (LLM) - Global Frontier Tech Recruitmen...
San Jose, CA · On-site
$60/hr
Drive innovation in large model-powered search architecture and enable agent-based AI search systems. - Business Value: Significantly improve search relevance and user satisfaction, strengthening ...
Agent Based Modeling information
See San Ramon, CA salary details
$16.39 - $18.95
2% of jobs
$18.95 - $21.52
4% of jobs
$21.52 - $24.08
17% of jobs
$25.36 is the 25th percentile. Wages below this are outliers.
$24.08 - $26.64
3% of jobs
$26.64 - $29.21
9% of jobs
The median wage is $31 / hr.
$29.21 - $31.77
21% of jobs
$31.77 - $34.34
6% of jobs
$34.34 - $36.90
6% of jobs
$36.90 - $39.46
3% of jobs
$39.46 - $42.03
0% of jobs
$42.28 is the 75th percentile. Wages above this are outliers.
$42.03 - $44.59
28% of jobs
$16
$33
$44
How much do agent based modeling jobs pay per hour?
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?
What does agent-based modeling mean?
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?
What's the highest paying modeling job?

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 4 days ago
Amazon rating
7.4
Based on 6,843 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents.
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future.
Key job responsibilities
Key Responsibilities:
• Collaborate with AWS GenAI partners, helping them envision and implement agent-based solutions that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.
• Drive strategic initiatives to accelerate Agentic AI adoption with a core set of strategic partners
• Develop and execute comprehensive partner strategies that scale agent-based solutions and use cases
• Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities
• Build and manage programs for partner enablement, certification, and funding focused on agent technologies
• Analyze market trends and gather partner/customer feedback to inform AWS's Agentic AI strategy
• Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions
• Collaborate with AWS service teams to align partner requirements with product development
• Lead the development of partner-ready go-to-market content, resources, and activities
A day in the life
• Develop AWS strategy for Agentic AI partner GTM
• Drive consensus across service teams, field sales, partner management, marketing, legal, and partner program teams.
• Conduct analysis on AWS customer and partner adoption trends
• Work with a strategic Generative AI partner to define and execute joint sales and Go-to-Market (GTM) programs.
• Drive a special project of strategic initiative across AWS highly matrixed organization
• Analyze performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.
• Build customer and field facing enablement materials including sales plays, decks, and solution briefs
About the team
The AWS Data & AI Partner GTM team isn't just building partnerships - we're creating the future of intelligent systems through an elite network of innovators. We're the driving force behind AWS's most strategic partner initiatives across data, GenAI, and autonomous agents, bringing together the world's most innovative partners to pioneer transformative solutions.
Our vision is bold: we're building the world's premier Data & AI partner network, where technical excellence drives remarkable innovation. From helping enterprises unlock the value of their data to advancing the frontier of GenAI, we champion emerging technologies that reshape how businesses operate. Our team works at the intersection of partner innovation and AWS's most strategic initiatives, from data foundations to autonomous agents, creating opportunities that define the future of business technology.
What makes our team unique is our position as strategic orchestrators - we're not just enabling partner success, we're shaping the future of data and AI adoption. We work directly with category-defining ISVs and startups as well as AWS' most innovative service teams. Through our work, we're not just witnessing the data and AI revolution - we're actively driving it, creating scalable models that empower both our partners and AWS field teams to accelerate service adoption and deliver exceptional customer outcomes. Whether it's helping partners build advanced data analytics solutions or develop sophisticated GenAI applications, we're at the forefront of technology's most exciting frontiers.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience explaining complex technical concepts to various business and technical audiences
- Experience presenting to both technical and non-technical executive audiences
PREFERRED QUALIFICATIONS
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US