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Remote Foundry Engineer Jobs in Massachusetts (NOW HIRING)

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ... Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry ...

This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ... Experience with Power Platform, Azure DevOps, Foundry, Copilot, Graph API, Logic Apps, Function ...

AI Solution Architect

Boston, MA · On-site +1

$68.50 - $90.25/hr

EisnerAmper is seeking multiple AI Solution Architects who will serve as lead developers on the ... Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem * Azure Machine Learning:

AI Solution Architect

Boston, MA · On-site +1

$68.50 - $90.25/hr

EisnerAmper is seeking multiple AI Solution Architects who will serve as lead developers on the ... Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem * Azure Machine Learning:

Remote Foundry Engineer information

What is a Remote Foundry Engineer?

A Remote Foundry Engineer is a professional who specializes in designing, operating, and improving foundry processes—such as metal casting and molding—while working remotely. They leverage digital tools to oversee production workflows, troubleshoot issues, and collaborate with on-site teams from a distance. Remote Foundry Engineers often use simulation software, data analysis, and virtual meetings to ensure quality and efficiency across foundry operations. This role requires strong technical expertise in metallurgy, manufacturing processes, and remote communication technologies.

What is the difference between Remote Foundry Engineer vs Remote Metal Casting Technician?

AspectRemote Foundry EngineerRemote Metal Casting Technician
CredentialsBachelor's in Mechanical, Materials, or Metallurgical EngineeringTechnical diploma or certification in metal casting or related field
Work EnvironmentDesign, development, and process optimization remotely; occasional site visitsHands-on casting work, often on-site, with remote support
Industry UsageUsed in manufacturing, aerospace, and automotive industries for process innovationPrimarily in foundries and metal manufacturing facilities
Search & ComparisonOften compared for engineering roles focusing on design and processCompared for technical, hands-on casting roles

The Remote Foundry Engineer typically focuses on designing and optimizing casting processes remotely, requiring engineering credentials. In contrast, the Remote Metal Casting Technician performs hands-on casting work, often on-site, with some remote support. Both roles are essential in manufacturing but differ mainly in their work environment and technical focus.

What are some common challenges faced by Remote Foundry Engineers when working with distributed teams?

Remote Foundry Engineers often collaborate with global teams to design, optimize, and maintain foundry operations using virtual tools and communication platforms. A common challenge is ensuring clear communication across different time zones and cultures, which requires proactive updates and detailed documentation. Additionally, troubleshooting equipment or process issues remotely can be more complex without physical presence, so strong problem-solving skills and familiarity with digital monitoring systems are essential. Building strong relationships with on-site staff and other engineers helps to bridge gaps and ensure smooth project execution.

What are the key skills and qualifications needed to thrive as a Remote Foundry Engineer, and why are they important?

To excel as a Remote Foundry Engineer, you need a solid background in mechanical or materials engineering, strong knowledge of metal casting processes, and typically a relevant engineering degree. Familiarity with CAD software, simulation tools like MAGMASOFT, and ERP systems is commonly required, along with experience in remote collaboration platforms. Excellent problem-solving, communication, and self-management skills set outstanding candidates apart in virtual and distributed environments. These capabilities are critical to ensuring high-quality production, efficient workflow, and effective teamwork while working remotely in a manufacturing context.
What are popular job titles related to Remote Foundry Engineer jobs in Massachusetts? For Remote Foundry Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Foundry Engineer jobs in Massachusetts look for? The top searched job categories for Remote Foundry Engineer jobs in Massachusetts are:
Infographic showing various Remote Foundry Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

Remote AI Architect

Globalchannelmanagement

Boston, MA • Remote

$90 - $92/hr

Full-time

Posted 28 days ago


Job description

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts.

AI Architect requires:

  • Strong understanding of data governance, privacy, security, and model risk management.
  • Prior experience with large-scale transformation programs.
  • equired Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in application development, engineering, or solution delivery roles.
  • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture.
  • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems).
  • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design).
  • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling.
  • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores.
  • Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
  • Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization.

AI Architect duties:

Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability.

Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling.

Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies.

Mentor engineers, analysts, and product teams on AI best practices.