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Remote Foundry Pattern Maker Jobs (NOW HIRING)

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Monitor data quality, data usage, access patterns, and analytics adoption to identify risks ... Foundry, or similar platforms. * 3+ years of experience with cloud data services on AWS, Microsoft ...

Changeis

Data Architect

$65.25 - $84/hr

Most positions are remote and offer competitive compensation and benefits. Key Skills amp ... Strong understanding of Medallion architecture patterns and modern data product design. Data ...

MGT

AI Solutions Engineer *Global

AI Solutions Engineer MGT Consulting • India (Remote) • Full-time MGT is a US-based management ... Designing and building scalable agentic systems using modern orchestration patterns * Developing ...

Genpact

Data Modeler 4C

New York, NY · On-site +1

$60 - $77.75/hr

Design, extend, and govern ontologies in OWL; develop schema, patterns, and modular models for ... Curate and harmonize biomedical vocabularies (e.g., OBO Foundry, SIO, EBI) and align with ...

New

NewGen

Platform Architect/Consultant

Tampa, FL · On-site +1

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... Knowledge of Industrial Ontologies Foundry (IOF) or similar ontology standards * Experience with ...

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Remote Foundry Pattern Maker information

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$33.5K

$77.4K

$126K

How much do remote foundry pattern maker jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote foundry pattern maker in the United States is $77,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $86,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Foundry Pattern Maker vs Remote Casting Technician?

AspectRemote Foundry Pattern MakerRemote Casting Technician
CredentialsPattern-making certifications, technical trainingCasting certifications, technical skills
Work EnvironmentDesign studios, remote collaborationFoundries, remote or on-site
Industry UsageManufacturing, prototyping, designProduction, quality control
Search IntentDesign, pattern creation, modelingCasting, inspection, process management

The Remote Foundry Pattern Maker primarily focuses on designing and creating patterns used in casting processes, often working remotely with CAD tools. In contrast, the Remote Casting Technician handles the actual casting process, quality checks, and technical adjustments, which may involve on-site or remote work. Both roles require technical skills and industry-specific certifications, but their core responsibilities differ in design versus production execution.

More about Remote Foundry Pattern Maker jobs
What cities are hiring for Remote Foundry Pattern Maker jobs? Cities with the most Remote Foundry Pattern Maker job openings:
What are the most commonly searched types of Foundry Pattern Maker jobs? The most popular types of Foundry Pattern Maker jobs are:
What states have the most Remote Foundry Pattern Maker jobs? States with the most job openings for Remote Foundry Pattern Maker jobs include:
What job categories do people searching Remote Foundry Pattern Maker jobs look for? The top searched job categories for Remote Foundry Pattern Maker jobs are:
Remote Foundry Pattern Maker jobs near you
Infographic showing various Remote Foundry Pattern Maker job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $77,376 per year, or $37.2 per hour.

Sr AI Engineer

Futran Tech Solutions Pvt. Ltd.

Fort Worth, TX • On-site, Remote

$80/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Client : Alcon
Fort Worth, TX, Hybrid is preferred, but remote
Rate: $80/hr
Job Title: Sr AI Engineer
Experience Level: 6-10 years
Job Summary
We are seeking a skilled AI Engineer to build, integrate, and operationalize AI/ML models and agent workflows on AWS and Azure as the core AI foundation, with Microsoft Copilot as the primary user experience layer. The role involves collaborating with AI Architects and data teams to deploy scalable, production-grade AI solutions that are grounded in enterprise data, governed responsibly, and optimized for real-world performance. The candidate should be able to own the full AI engineering lifecycle, from prototyping and integration through to production deployment and ongoing optimization.
Key Responsibilities
LLM & Agent Development
  • Build, integrate, and iterate on LLM-powered agent experiences for enterprise knowledge access and workflow automation.
  • Own prompt engineering, orchestration logic, and multi-agent workflow design using AWS Bedrock and Azure AI services.
  • Implement grounding, citation enforcement, and refusal behavior patterns aligned with enterprise governance standards.
  • Build structured triage and escalation logic within agent workflows to support robust, production-grade AI systems.
  • Own the AI engineering layer end to end, from prototype through pilot validation and production deployment.

RAG & Retrieval Engineering
  • Implement RAG pipelines using structured and unstructured enterprise data on AWS and Azure cloud-native services.
  • Tune retrieval quality through vector search, re-ranking strategies, and context window optimization.
  • Work with embedding models, chunking strategies, and hybrid retrieval approaches to improve answer relevance.
  • Integrate vector databases such as Azure AI Search and Amazon OpenSearch to support enterprise RAG systems.

Evaluation & Quality Assurance
  • Define and run evaluation frameworks to measure answer accuracy, hallucination rates, and response quality.
  • Ensure relevance, freshness, observability, and security of AI outputs across production environments.
  • Implement monitoring and drift detection for deployed AI models and LLM-based workflows.

Cloud & Platform Integration
  • Build and deploy AI solutions on AWS (Bedrock, SageMaker, Lambda) and Azure (Azure AI Foundry, Azure ML, Azure Functions) as the primary cloud platforms.
  • Integrate Microsoft Copilot as the enterprise user experience layer, connecting AI capabilities to end-user workflows.
  • Integrate AI components with enterprise applications, APIs, and data sources to enable scalable, end-to-end AI workflows.
  • Ensure compliance with security, privacy, and responsible AI guidelines across all AI deployments.

Collaboration & Delivery
  • Collaborate with AI Architects and data teams to translate architectural designs into production-ready AI implementations.
  • Work within cross-functional delivery teams to align AI solutions with business and product requirements.
  • Support POCs and pilot programmes, demonstrating the value and feasibility of AI solutions before full-scale deployment.

Required Qualifications
  • 6-10 years of overall experience with 3+ years building LLM-powered applications in production or near-production environments.
  • Hands-on experience with AWS AI/ML services (Bedrock, SageMaker) and Azure AI services (Azure AI Foundry, Azure OpenAI Service, Azure ML).
  • Experience integrating with Microsoft Copilot or building Copilot extensibility solutions (plugins, connectors, or agents).
  • Hands-on experience with RAG architectures: vector search, embedding models, chunking strategies, and hybrid retrieval.
  • Strong understanding of grounding techniques, hallucination mitigation, and AI evaluation methodologies.
  • Experience with agent orchestration frameworks and patterns: multi-agent routing, workflow chaining, and context management.
  • Strong Python skills; familiarity with LangChain, Semantic Kernel, or equivalent agent orchestration frameworks preferred.
  • Ability to work autonomously and own the full AI engineering stack within a cross-functional delivery team.

Apply