2

Remote Retrieval Augmented Generation Jobs in Massachusetts

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks * Define approaches for model selection ...

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks * Define approaches for model selection ...

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 ...

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

New

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 ...

AI Engineer

Wakefield, MA · On-site

$72K - $110K/yr

Create scalable retrieval-augmented generation (RAG) pipelines and prompt-engineering frameworks. * Prototype and productionize AI solutions that improve day-to-day operations across the bank.

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 ...

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 ...

Senior Software Engineer- AI

Boston, MA · On-site +1

$136K - $225K/yr

Develop and optimize retrieval-augmented generation (RAG) pipelines * Collaborate with product ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

AI Solutions Partner

Cambridge, MA · Remote

$127K/yr

Working fluency in genAI fundamentals, including LLMs, prompt design, retrieval-augmented generation, and the MCP. * Working knowledge of machine learning techniques sufficient to discuss them ...

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.

next page

Showing results 1-20

Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

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

AI Solutions Architect (Remote)

IQVIA

Boston, MA • On-site, Remote

$68.50 - $90.25/hr

Full-time

Posted 22 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

59th of 220 rated it services


Job description

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle.

Role Overview

As an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions thatleveragenext-generation AI capabilities and deliver measurable business value.

Key Responsibilities

AI Solution Architecture

  • Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes

  • Recommendappropriate architecturesthat align businessobjectives, data assets, and technology capabilities

Foundation Models and Agentic AI

  • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks

  • Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment

Knowledge Graphs and Semantic Systems

  • Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval

  • Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance

Data Strategy and Engineering

  • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources

  • Establish data foundations that support scalable, trustworthy, and AI-ready solutions

Client Leadership and Consulting

  • Serve as a trusted advisor to business, scientific, and technical stakeholders, leadingworkshopsand solution design sessions

  • Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation

Innovation and Capabilities Development

  • Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions

  • Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements

What We're Looking For

  • Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield.

  • Significant experiencedelivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations

  • Demonstratedexpertisein designing and deploying solutionsleveragingfoundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics

  • Experience designing AI solution architectures supported by strong data architecture principles.

  • Strong programming and solution development experience, particularly in Python and modern AI frameworks.

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.

  • Experience designing and deploying AI solutions in regulated environments.

  • Ability to translatecomplex business and scientific questions into structured AI solution designs and implementation plans.

  • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval.

  • Excellent communication, presentation, and consulting skills.

  • Ability to engage effectively with both executive stakeholdersand highlytechnical teams.

Preferred Experience

  • Experience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery.

  • Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability.

  • ExperienceestablishingAI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies.

  • Understanding ofthe end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions.

  • Experience leading client engagements and mentoring multidisciplinary technical teams.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IQVIA logo

About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US