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Retrieval Augmented Generation Jobs in Boston, MA

Copilot Integration Engineer

Boston, MA · Remote

$106K - $143K/yr

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 ...

You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do

Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), contex management, and performance tuning. * Code Quality / Code Reviews: Write clean, maintainable, and ...

Data Engineer

North Reading, MA · On-site

$119K - $143K/yr

Build and optimize data stores for Retrieval Augmented Generation (RAG) to power BRUNT's next generation of intelligent applications. * Cross-Functional Support: Partner with data analysts to ensure ...

Data Engineer

Reading, MA · On-site

$120K - $145K/yr

Build and optimize data stores for Retrieval Augmented Generation (RAG) to power BRUNT's next generation of intelligent applications. * Cross-Functional Support: Partner with data analysts to ensure ...

In this role, you'll contribute to AIpowered solutions while building handson experience with modern machine learning and generative AI patterns (e.g., retrieval-augmented generation, tool calling ...

Posted today

Research Analyst

Concord, MA · On-site

$28 - $35/hr

Implementing RAG (Retrieval-Augmented Generation) * Using AI and machine learning across various types of projects * Conducting technical literature reviews * Supporting mid- and senior-level staff ...

Implementing RAG (Retrieval-Augmented Generation) * Using AI and machine learning across various types of projects * Conducting technical literature reviews * Supporting mid- and senior-level staff ...

Implementing RAG (Retrieval-Augmented Generation) * Using AI and machine learning across various types of projects * Conducting technical literature reviews * Supporting mid- and senior-level staff ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Showing results 21-40

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

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:
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Infographic showing various Retrieval Augmented Generation job openings in Boston, MA as of August 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 69% Physical, 2% Hybrid, and 29% Remote job distribution.

Copilot Integration Engineer

SMART TECH SKILLS LLC

Boston, MA • Remote

$106K - $143K/yr

Full-time

Posted 15 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.