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Remote Foundry Engineer Jobs in Tempe, AZ (NOW HIRING)

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Bounteous is a global AI Services firm where agentic engineering and human experience converge to ... Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ...

Senior Software Engineer

Phoenix, AZ · Remote

$121K - $160K/yr

... remote data via SOAP, REST and JSON * 4+ years of experience in software development, with a focus ... cloud foundry) OpenShift or other PaaS and cloud technologies * 4+ years of experience with Jira ...

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Agentic Software Engineer III (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Agentic Software Engineer II (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

Principal Software Engineer - Remote

Scottsdale, AZ · On-site +1

$134K - $180K/yr

Hands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and ...

Remote Foundry Engineer information

See Tempe, AZ salary details

$57.5K

$77K

$106.8K

How much do remote foundry engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote foundry engineer in Tempe, AZ is $77,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $81,400.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote foundry engineer?

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 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 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 popular job titles related to Remote Foundry Engineer jobs in Tempe, AZ?

For Remote Foundry Engineer jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Foundry Engineer jobs in Tempe, AZ look for?

The top searched job categories for Remote Foundry Engineer jobs in Tempe, AZ are:

Infographic showing various Remote Foundry Engineer job openings in Tempe, AZ as of August 2026, with employment types broken down into 71% Full Time, 7% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,021 per year, or $37 per hour.

Azure AI Foundry Architect

Bounteous

Scottsdale, AZ • Remote

$64 - $83.25/hr

Full-time

Posted 11 days ago


Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

Job Title: Azure AI Foundry Architect
Location: Remote (Onshore Preferred - 5 days onsite)
Employment Type: Contract
Domain: Retail

About the Role

We are seeking an experienced Azure AI Foundry Architect to support our Retail AI team, in accelerating enterprise AI adoption through the design, governance, and deployment of secure, scalable AI platforms.

This role will be responsible for architecting and governing Azure AI Foundry environments, Azure OpenAI services, model access patterns, AI evaluation frameworks, deployment standards, and enterprise AI governance practices. The ideal candidate brings hands-on experience building production-grade Generative AI and agentic AI solutions while ensuring security, compliance, scalability, and operational excellence.

The architect will work closely with business stakeholders, AI engineers, cloud platforms, cybersecurity, enterprise architecture, and data teams to establish best practices and scalable AI deployment patterns across the organization.

Key Responsibilities

Azure AI Foundry Architecture & Strategy

  • Design and implement enterprise-scale Azure AI Foundry architectures.
  • Define AI platform standards, reusable architectures, and deployment frameworks.
  • Establish Azure AI Foundry project structures, resource organizations, and environment strategies.
  • Develop reference architectures supporting enterprise AI initiatives.
  • Guide adoption of Azure-native AI services across the organization.

Azure OpenAI & Model Architecture

  • Architect secure and scalable Azure OpenAI implementations.
  • Define model consumption and deployment strategies.
  • Design enterprise model access patterns supporting internal business applications.
  • Evaluate model selection strategies for various business use cases.
  • Optimize AI platform performance, reliability, scalability, and cost management.
  • Support LLM deployment lifecycle management.
  • AI Foundry Resource & Project Management

Required Qualifications

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.

Advanced degree preferred but not required.

Experience

  • 3-5 years of hands-on experience architecting Azure cloud solutions.
  • Experience designing enterprise AI or Generative AI platforms.
  • Proven experience deploying production AI solutions in Azure environments.
  • Experience collaborating with enterprise architecture, security, and cloud engineering teams.

Preferred Qualifications

  • Experience leading AI platform architecture initiatives within large enterprises.
  • Experience implementing Retail AI use cases.
  • Experience with Microsoft Fabric, Dataverse, and Power Platform integration.
  • Exposure to MLOps and LLMOps practices.
  • Knowledge of Responsible AI and regulatory compliance requirements.
  • Microsoft Azure AI Engineer Associate or Azure Solutions Architect certifications preferred.
  • Strong architecture and systems thinking.
  • Excellent stakeholder management skills.
  • Ability to translate business requirements into technology solutions.
  • Strong consulting and advisory capabilities.
  • Exceptional documentation and communication skills.
  • Ability to influence cross-functional teams and executive stakeholders.
Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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