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Remote Retrieval Augmented Generation Jobs in Boston, MA

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Lead AI Engineer

Quincy, MA · On-site +1

$180K - $280K/yr

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

RAG (Retrieval-Augmented Generation) architectures * Agentic frameworks (LangChain, LlamaIndex, or ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

WEX

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

eNett

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

Staples, Inc.

Sr Manager AI Platforms

Framingham, MA · Remote

$130K - $171K/yr

Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns.

Mendix

Presales Solutions Architect - Mendix

Boston, MA · Remote

$135K - $270K/yr

Educate customers on AI architecture patterns including agentic AI, Retrieval-Augmented Generation (RAG), knowledge graphs, and enterprise AI governance. Preferred Qualifications * Experience with ...

Draper

AI Cyber Principal

Cambridge, MA · On-site +1

$100K - $275K/yr

A strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI. * Proficiency in coding languages like Python, as well as IaC (Infrastructure as Code ...

Wsgr

Senior AI Security Engineer

Boston, MA · On-site +1

$124K - $170K/yr

Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows, retrieval-augmented generation (RAG) pipelines, and MCP server deployments across firm systems * Lead ...

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All JobsRetrieval Augmented Generation JobsRemote Retrieval Augmented Generation JobsRemote Retrieval Augmented Generation Jobs in Boston, MA

Remote Retrieval Augmented Generation information

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Boston, MA? The most popular types of Retrieval Augmented Generation jobs in Boston, MA are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Boston, MA? For Remote Retrieval Augmented Generation jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Boston, MA look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Retrieval Augmented Generation jobs? Cities near Boston, MA with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you
Infographic showing various Remote Retrieval Augmented Generation job openings in Boston, MA as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Copilot Integration Engineer

SMART TECH SKILLS LLC

Boston, MA • Remote

$106K - $143K/yr

Full-time

Posted 19 days ago

Job description

Benefits:
  • Competitive salary

Location: Remote
Senior Level (5+ years of relevant experience)
Role Overview
The Microsoft Copilot Solutions Architect / AI Enablement Lead is responsible for driving enterprise AI adoption through the implementation, optimization, and expansion of Microsoft Copilot, Copilot Studio, and AI-powered business solutions. This role partners closely with business and technology stakeholders to identify high-value AI use cases, design intelligent automation solutions, and ensure secure, scalable deployment of AI capabilities across a large Microsoft 365 environment. The position combines technical expertise, business process transformation, governance, and user adoption to maximize organizational productivity and innovation.
Key Responsibilities
Microsoft Copilot & Copilot Studio Implementation
  • Design, configure, implement, and support Microsoft Copilot and Copilot Studio solutions
  • Develop and customize Copilot agents for business-specific use cases
  • Identify opportunities to leverage AI to improve operational efficiency and employee productivity
  • Drive adoption of Microsoft Copilot across business functions and departments
  • Optimize Copilot experiences based on user feedback, analytics, and evolving business needs
Generative AI & Enterprise AI Solutions
  • Design and deliver enterprise AI solutions using Microsoft AI technologies
  • Implement AI-powered workflows, assistants, knowledge retrieval, and automation capabilities
  • Support Retrieval-Augmented Generation (RAG) and AI-enabled business process improvements
  • Collaborate with business teams to identify and prioritize AI use cases
  • Evaluate emerging AI technologies and recommend practical applications
Power Platform & Intelligent Automation
  • Build automation solutions using Power Automate, Power Apps, and Copilot Studio
  • Design AI-enabled workflows that streamline business operations
  • Develop low-code solutions for process automation and productivity enhancement
  • Establish automation governance, standards, and best practices
  • Support enterprise-wide digital transformation initiatives
Microsoft 365 AI Integration
  • Integrate Microsoft Copilot capabilities within existing Microsoft 365 environments
  • Support AI enablement across: 
    • Microsoft Teams
    • SharePoint Online
    • Exchange Online
    • Microsoft Viva
    • Microsoft Purview
    • Power Platform
  • Partner with technical teams to maximize value from Microsoft 365 investments
  • Ensure seamless user adoption and business integration
Governance, Compliance & Security
  • Develop governance frameworks supporting responsible AI adoption
  • Implement security, compliance, and information protection controls for AI solutions
  • Collaborate with security and compliance teams to ensure adherence to organizational policies
  • Support Microsoft Purview data governance and information protection initiatives
  • Establish best practices for secure and compliant AI deployment
Integration & Technical Enablement
  • Utilize Microsoft Graph API, PowerShell, and related technologies to extend Microsoft 365 functionality
  • Integrate Copilot and AI solutions with enterprise systems and applications
  • Automate administrative and operational processes using APIs and scripting tools
  • Support technical architecture and integration design activities
  • Develop reusable automation and integration frameworks
User Adoption & Change Management
  • Drive user adoption initiatives and AI enablement programs
  • Conduct training, workshops, demonstrations, and knowledge-sharing sessions
  • Develop user guides, best practices, and adoption materials
  • Track usage metrics and identify opportunities for increased value realization
  • Act as a trusted advisor to business and technology stakeholders
Required Qualifications
  • 5+ years of experience in Microsoft 365, Power Platform, AI solutions, or related enterprise technology roles
  • Hands-on experience implementing and supporting Microsoft Copilot and Copilot Studio
  • Experience designing and developing Copilot agents and AI-powered business solutions
  • Experience with enterprise Generative AI technologies and AI-enabled automation
  • Strong understanding of prompt engineering and AI adoption strategies
  • Experience with Power Automate and Power Apps
  • Experience integrating AI capabilities into Microsoft 365 environments
  • Knowledge of Microsoft Teams, SharePoint Online, Exchange Online, Purview, and Viva
  • Experience with Microsoft Graph API and PowerShell scripting
  • Understanding of governance, security, compliance, and responsible AI practices
  • Strong communication and stakeholder management skills
Preferred Qualifications
  • Experience leading enterprise-scale AI adoption initiatives
  • Experience in financial services, banking, or highly regulated industries
  • Microsoft Copilot Studio specialization or certification
  • Microsoft Power Platform certifications
  • Experience with Retrieval-Augmented Generation (RAG) architectures
  • Experience implementing AI governance frameworks
  • Experience supporting organizations with 10,000+ users
  • Familiarity with Microsoft Azure AI and modern AI service architectures
Core Skills & Attributes
  • Strong expertise in Microsoft Copilot and Copilot Studio
  • Business process transformation and automation mindset
  • Ability to translate business needs into AI-powered solutions
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities
  • Strong stakeholder engagement and change management skills
  • Ability to balance innovation with governance and security requirements
  • Self-starter with a passion for emerging technologies
  • Proven ability to drive enterprise adoption of new technologies
  • Strong collaboration skills across technical and business teams
Key Technologies
Microsoft AI & Productivity
  • Microsoft Copilot
  • Microsoft Copilot Studio
  • Microsoft 365 Copilot
  • Microsoft Viva
Power Platform
  • Power Automate
  • Power Apps
  • Power Platform Administration
Microsoft 365
  • Microsoft Teams
  • SharePoint Online
  • Exchange Online
  • Microsoft Purview
Integration & Automation
  • Microsoft Graph API
  • PowerShell
  • REST APIs
AI & Governance
  • Generative AI
  • Prompt Engineering
  • AI Agents
  • Retrieval-Augmented Generation (RAG)
  • Information Protection
  • Responsible AI Governance
  • Enterprise Compliance & Security

This is a remote position.