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Remote Rag Jobs in Massachusetts (NOW HIRING)

Solutions Architect

Boston, MA · On-site +1

$160K - $180K/yr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Remote first organization - 100% Company paid Health/Dental/Vision benefits for you and your ...

Solutions Architect

Boston, MA · Remote

$160K - $180K/yr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Remote first organization - 100% Company paid Health/Dental/Vision benefits for you and your ...

Software Engineer

Boston, MA · On-site +1

$110K - $177K/yr

AI technologies including RAG and MCP; and contributing to enterprise open-source software. #LI-DNI ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Remote Rag information

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

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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 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 are the most commonly searched types of Rag jobs in Massachusetts? The most popular types of Rag jobs in Massachusetts are:
What are popular job titles related to Remote Rag jobs in Massachusetts? For Remote Rag jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Massachusetts look for? The top searched job categories for Remote Rag jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Rag jobs? Cities in Massachusetts with the most Remote Rag job openings:
Solutions Architect

Solutions Architect

Pryon

Boston, MA • On-site, Remote

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About Pryon:
We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
As a Solutions Architect at Pryon, you will be at the forefront of translating federal customer needs into robust technical solutions. From leading discovery sessions with government agencies and designing secure, compliant architectures to building POCs that showcase the power of our platform, you will help federal customers unlock the full potential of AI-driven knowledge management in mission-critical environments.
In This Role You Will:
  • Lead technical discovery sessions with federal customers and government stakeholders to scope requirements, define success criteria, and translate mission needs into actionable solution architectures.
  • Design scalable, secure, and high-performance architectures that align with federal compliance standards, security requirements, and customer-specific needs.
  • Build and deliver Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate technical approaches and demonstrate solution value in government environments.
  • Own end-to-end technical documentation, including architecture diagrams, technical specifications, integration guides, and deployment runbooks tailored for federal deployments.
  • Drive technical alignment across sales, engineering, and product teams throughout the solution lifecycle.
  • Guide solution implementation from initial design through deployment, ensuring smooth handoff to customer success and support teams.
  • Evaluate and integrate third-party tools, APIs, and platforms into customer solutions to meet functional, non-functional, and security requirements.
  • Contribute to internal knowledge bases, reference architectures, and reusable solution patterns for federal engagements.

What You'll Need to Be Successful
  • Active Top Secret security clearance (required)
  • Demonstrated experience in solution architecture, pre-sales engineering, or technical consulting with a track record of designing and delivering enterprise-grade systems for federal or defense customers.
  • Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure Government) and cloud-native design patterns in government environments.
  • Strong proficiency in Python with experience building production-quality applications and automation.
  • Expert-level understanding of system integration patterns, including RESTful and GraphQL APIs, webhooks, and event-driven architectures.
  • Solid understanding of SQL and database operations (e.g., query optimization, schema design, transactions).
  • Ability to lead technical discussions and present complex architectures to both technical and non-technical audiences, including government stakeholders.
  • Baseline understanding of AI/ML concepts (e.g., ML workflows, data pipelines, NLP, or RAG) and data science engineering practices.
  • Experience with orchestration frameworks, LLMs, or knowledge retrieval systems.
  • Familiarity with MLOps practices, such as model versioning, deployment pipelines, experiment tracking, and model monitoring.
  • Experience with FedRAMP, FISMA, or other federal compliance frameworks.
  • Exposure to additional programming languages or technology stacks is a plus
  • Strong problem-solving skills with the ability to analyze ambiguous requirements and propose effective solutions.
  • Experience with Agile methodologies and DevOps/CI-CD practices.
  • Strong written and verbal communication skills, with an emphasis on technical documentation.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).

$160,000 - $180,000 a year
Benefits for Full Time Employees:
- Remote first organization
- 100% Company paid Health/Dental/Vision benefits for you and your dependents
- Life Insurance, Short-term and Long-term Disability
- 401k
- Unlimited PTO
We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.
Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws.
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.