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Internship Agent Based Modeling Jobs in Boston, MA

Workato

Forward Deployed Engineer

Boston, MA · On-site

Implement agent-based AI solutions using the Workato Agentic AI platform * Implement intelligent ... language models (LLMs) * Develop advanced prompting, memory management, and behavior-planning ...

State Street Global Advisors

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Design, develop, and deploy AI-powered services , including copilots, agent-based workflows, and ... Implement monitoring, evaluation, and observability for AI models and pipelines * Apply responsible ...

State Street Corporation

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI ... Implement monitoring, evaluation, and observability for AI models and pipelines * Apply responsible ...

State Street Corporation

AI Developer, SA

Burlington, MA · On-site

Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI ... Implement monitoring, evaluation, and observability for AI models and pipelines * Apply responsible ...

Third Way Health

AI / ML Engineer

Cambridge, MA · On-site

... for models, experiment tracking, and rollout strategies. • Solid understanding of workflow orchestration (graph-based execution, retries, state management) in ML and agent-based systems. • ...

Third Way Health

AI / ML Engineer

Cambridge, MA · On-site

... CD for models, experiment tracking, and rollout strategies. * Solid understanding of workflow orchestration (graph-based execution, retries, state management) in ML and agent-based systems.

Fidelity Investments

Conversational UX Lead

Boston, MA · On-site

$126K/yr

Design and evolve agent-based, stateful conversational experiences beyond traditional chat ... Hands-on experience shaping front-end experiences and interaction models for customer-facing ...

PTC

Pricing Analyst

Boston, MA · On-site

Build and apply AI-enabled analytics and automation capabilities (e.g., intelligent alerts, agent ... Build analytical models, automate reporting, and establish repeatable, metric-based insights

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Internship Agent Based Modeling information

What is the difference between Internship Agent Based Modeling vs Internship Data Analyst?

AspectInternship Agent Based ModelingInternship Data Analyst
Required CredentialsRelevant coursework in modeling, programming, or simulation; sometimes a background in computer science or mathematicsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, simulation environments, or industry settings focusing on modeling complex systemsBusiness, finance, healthcare, or tech companies analyzing data sets
Employer & Industry UsageUsed in research, government agencies, and industries requiring simulation of agent behaviorsCommon across various industries for decision-making and reporting

Internship Agent Based Modeling focuses on developing and analyzing simulation models of agents within complex systems, often requiring programming skills. In contrast, Internship Data Analysts primarily interpret and visualize data to support business decisions. Both roles involve data handling but differ in methods and application areas.

What is an internship in agent based modeling?

An Internship in Agent Based Modeling is a temporary position, typically for students or recent graduates, where you learn and assist in developing computational models that simulate the actions and interactions of autonomous agents. The role involves using programming and mathematical techniques to study complex systems in fields like economics, biology, or social sciences. Interns often work with simulation tools, analyze data, and contribute to research projects under the supervision of experienced modelers. This internship helps you gain practical experience in computational modeling and can enhance your understanding of how agent-based simulations are used to solve real-world problems.

What are the key skills and qualifications needed to thrive as an internship agent based modeling, and why are they important?

To thrive as an Internship Agent Based Modeling, you need a solid background in mathematics, computer science, or a related field, along with experience in modeling and simulation techniques. Familiarity with programming languages such as Python or Java, and tools like NetLogo, AnyLogic, or Repast, is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are standout soft skills. These skills and qualities are crucial for developing accurate models, interpreting simulation results, and collaborating effectively within research or development teams.

What are the typical projects an intern in agent based modeling might work on, and how do they contribute to the team's goals?

As an intern in Agent-Based Modeling, you can expect to work on projects involving the simulation of complex systems, such as social networks, economic markets, or biological processes. Your tasks may include developing and testing models, analyzing simulation results, and assisting with data collection or visualization. These projects are integral to the team's research or product development goals, as your models help generate insights, validate hypotheses, and inform decision-making. Collaboration with data scientists, researchers, and software engineers is common, providing valuable exposure to interdisciplinary teamwork and real-world problem-solving.
What are popular job titles related to Internship Agent Based Modeling jobs in Boston, MA? For Internship Agent Based Modeling jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Agent Based Modeling jobs in Boston, MA look for? The top searched job categories for Internship Agent Based Modeling jobs in Boston, MA are:
Internship Agent Based Modeling jobs near you

Forward Deployed Engineer

Workato

Boston, MA • On-site

Full-time

Re-posted 7 days ago

Job description

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
  • Business Insider named us an "enterprise startup to bet your career on"
  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Responsibilities
We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team.. In this role, you will be responsible for designing, developing, and deploying advanced AI agentic solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
  • Implement agent-based AI solutions using the Workato Agentic AI platform
  • Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
  • Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato's Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
  • Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
  • Act as a technical solutions expert with strong aptitude for troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform
  • Develop and maintain robust, scalable, AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform
  • Continuously monitor and improve AI system performance, ensuring efficiency and reliability
  • Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation
  • Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment
  • Contribute to internal process improvements and promote knowledge sharing by adding to Workato's knowledge base
  • Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise
  • Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs
  • Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences
Requirements
Qualifications / Experience / Technical Skills
  • BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • A total of 4+ years of relevant experience in design, development, and implementation.
  • 1+ year of experience with Workato or similar workplace orchestration and integration platform, is a must
  • Proven experience in AI engineering, with a focus on agent-based systems
  • Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations
  • Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases
  • Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies-iPaaS, SaaS applications, and cloud infrastructure-is also a plus
  • Strong working knowledge of APIs-RESTful, SOAP/XML. Solid understanding of data structures-JSON. Sound knowledge of any RDBMS/NoSQL
  • Hands-on experience with any of the following: Java, Python, or Ruby
  • Technical background or a solid understanding of technology and industry trends, especially in the app integration space
  • Experience working with cloud business apps like Workday, NetSuite, Salesforce and ServiceNow - Marketo is a plus
  • Good knowledge of microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus
Soft Skills / Personal Characteristics
  • Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact
  • Strong critical thinking and analytical skills, with an entrepreneurial and proactive mindset
  • Ability to effectively prioritize tasks and manage time, even under high-pressure situations
  • Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
  • Fast learner who can independently conduct extensive research, and synthesize ideas, information, and options quickly
  • Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000-$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.
Job Req ID: 2615

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