ZipRecruiter

Log In

2

Remote Rag Jobs in Boston, MA (NOW HIRING)

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval ...

New

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124.70K - $149.80K/yr

Enable ML/AI: feature engineering, MLflow experiment tracking, model registries, and model/feature serving; support RAG pipelines (embeddings, vector stores). * Establish data quality checks (e.g ...

Pryon

Solutions Architect

Boston, MA · Remote

$64.50 - $85/hr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Benefits for Full Time Employees: - Remote first organization - 100% Company paid Health/Dental ...

next page

Showing results 1-20

People also search for

All JobsRemote Rag JobsRemote Rag Jobs in Boston, MA

Remote Rag information

See Boston, MA salary details

$18

$23

$25

How much do remote rag jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote rag in Boston, MA is $23.36, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $24.81 per hour, depending on experience, location, and employer.

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

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.
What are the most commonly searched types of Rag jobs in Boston, MA? The most popular types of Rag jobs in Boston, MA are:
What are popular job titles related to Remote Rag jobs in Boston, MA? For Remote Rag jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Boston, MA look for? The top searched job categories for Remote Rag jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Rag jobs? Cities near Boston, MA with the most Remote Rag job openings:
Remote Rag jobs near you

Remote AI Architect

Globalchannelmanagement

Boston, MA • Remote

$90 - $92/hr

Full-time

Posted 8 hours 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.