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Ai Rag Jobs in Marshfield, MA (NOW HIRING)

Northeastern University

Senior Data Architect

Boston, MA · On-site

$130K - $189K/yr

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

NorthEastern

Senior Data Architect

Boston, MA

$130K - $189K/yr

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

Vrtx

Senior Principal AI Engineer

Boston, MA

$136K - $187K/yr

AI Control Tower operations: standing up and running the centralized control plane for agent ... RAG pipelines, vector search, document retrieval, and the grounding patterns that make enterprise ...

YO AI Labs

Mental Health Expert - Remote

Boston, MA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

Mental Health Expert - Remote

Boston, MA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

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Ai Rag information

See Marshfield, MA salary details

$33K

$60.1K

$86.2K

How much do ai rag jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai rag in Marshfield, MA is $60,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $67,100.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What cities near Marshfield, MA are hiring for Ai Rag jobs?

Cities near Marshfield, MA with the most Ai Rag job openings:

Ai Rag jobs near you

Senior Data Architect

Boston, MA • On-site

Northeastern University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Northeastern Universityexternal

$130K - $189K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

About the Opportunity
This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Job Summary
The Senior Data Architect is responsible for architecting Northeastern University's transition from legacy data structures to a modern, scalable, AI-ready data architecture. This role conducts deep assessments of existing systems-including Banner, Workday, Salesforce, ServiceNow, Snowflake, and Azure-and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models, governance structures, and integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows.
*Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future.
Minimum Qualification
Knowledge and skills required for this position are typically acquired through the completion of a Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field and ten or more years of progressive experience in data architecture, enterprise data modeling, or data engineering.
  • Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures.
  • Experience working with large, complex enterprise systems (e.g., Banner, Workday, Salesforce, ServiceNow, Snowflake, Azure).
  • Demonstrated leadership in cross-functional initiatives involving data governance, analytics, and platform modernization.
  • Ability to translate complex technical concepts into business-aligned architectural decisions.
  • Strong communication and data storytelling skills for senior leadership and non-technical stakeholders.
  • Effective collaborator with demonstrated ability to drive alignment across distributed teams. Strong problem-solving, analytical thinking, and architectural documentation skills.
  • Ability to set and enforce standards, patterns, reusable components, and governance practices.

Technical Competencies:
  • Expertise in modern data architecture patterns (data products, lakehouse, domain-driven design, semantic layers).
  • Deep knowledge of Snowflake, Azure SQL, Databricks, or similar cloud data platforms.
  • Proficiency with DBT, Fivetran, Informatica, or equivalent ELT/ETL tools.
  • Experience with event-driven and API-based integrations (Kafka, EventHub, microservices).
  • Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management.
  • Strong understanding of data modeling (conceptual, logical, physical), master data management, and data quality frameworks.

Key Responsibilities
1) Modern Data Architecture & Strategy Development
  • Assess existing data structures, integrations, and legacy platforms.
  • Define the enterprise's future-state data architecture aligned with AI, automation, and analytics needs.
  • Establish standards, patterns, and reusable frameworks

2) Data Modeling, Products & Platform Enablement
  • Create conceptual, logical, and physical data models across domains.
  • Partner with data owners to deliver scalable data products.
  • Support Snowflake, Azure, Salesforce, Banner, and ServiceNow data alignment

3) AI/ML Enablement & Advanced Capabilities
  • Design datasets and metadata structures supporting AI, RAG, vector search, and agentic workflows.
  • Collaborate with AI Studio and analytics teams to enable model training and inference at scale

4) Data Integration, Quality, and Governance
  • Lead ingestion architecture, streaming frameworks, and API integrations.
  • Implement data quality, lineage tracking, and governance practices.
  • Support FERPA, GDPR, and institutional compliance.

5) Serve as trusted advisor to academic and administrative partners
  • Communicate roadmaps and architectural decisions to ITS leadership

Position Type
Information Technology
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
114S
Expected Hiring Range:
$130,945.00 - $189,868.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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