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Retrieval Augmented Generation Rag Jobs in Ashburn, VA

Closure Technologies

AI/ML Engineer

Mclean, VA

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

Purple Drive

Gen AI Engineer [Python, LLM]

Mclean, VA · On-site

Retrieval-Augmented Generation (RAG) * Ensure performance, scalability, and reliability of AI systems Agent Development & Orchestration * Program and orchestrate multi-agent systems * Build custom ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks * Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible ...

ECS

Sr. Data Scientist

Fairfax, VA · On-site

$175K - $205K/yr

In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks * Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

... deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks • Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs • ...

Amivero

AI Engineer

Reston, VA

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Vantor

AI/ML Engineer

Mclean, VA · On-site

... on Retrieval-Augmented Generation (RAG) or similar retrieval-based workflows. • Proficiency with Python and common data/AI libraries. • Experience designing and using REST APIs to retrieve ...

LCG, Inc.

Full Stack Developer, Associate

Bethesda, MD · Hybrid

Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures * Design and build Generative AI ...

LCG Inc

Full Stack Developer, Associate

Bethesda, MD · On-site

Develop and implement AI-powered applications using Azure OpenAI, LLM technologies, Retrieval-Augmented Generation (RAG) pipelines, and vector database architectures * Design and build Generative AI ...

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How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for retrieval augmented generation rag in Ashburn, VA is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $21.63 per hour, depending on experience, location, and employer.
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Palantir Foundry RAG App Engineer

Palantir Foundry RAG App Engineer

Blue Rose Consulting Group, Inc.

Arlington, VA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Palantir Foundry RAG App Engineer

Location: Rosslyn, VA (hybrid)

Blue Rose Consulting Group, Inc. (Blue Rose) is seeking a skilled Palantir Foundry RAG App Engineer to support a federal client in designing, building, and deploying Retrieval-Augmented Generation (RAG) applications within Palantir Foundry.

In this role, you will help transform large volumes of structured and unstructured data into secure, accurate, and actionable insights through AI-enabled workflows, ontology-driven modeling, and scalable Foundry application development. You will collaborate with mission, technical, and analytics teams to deliver high-impact solutions that reduce manual effort, improve portfolio transparency, and modernize how federal teams interact with their data.

What You’ll Do

As a Palantir Foundry RAG App Engineer, you will:

  • Partner with team members to develop RAG applications in Palantir Foundry, including data ingestion, ontology mapping, feature engineering, and prompt-driven retrieval logic
  • Build intuitive, role-specific applications and workflows using AIP, Code Repositories, and Foundry App Builder
  • Enable users to “chat with their data” and quickly surface mission-critical insights
  • Design and maintain secure, governed data pipelines aligned with enterprise standards
  • Ensure traceability, data quality, and model performance monitoring
  • Collaborate with cross-functional teams to scope use cases, translate mission needs into technical requirements, and deliver solutions that integrate seamlessly into team workflows
  • Apply Foundry platform best practices, including ontology design principles, to build scalable and maintainable AI-enabled products
  • Contribute to reusable engineering patterns, documentation, and templates for RAG application development
Schedule & Shift Details
  • Full-time (40 hours/week)
  • Hybrid support for federal operations in Rosslyn, VA
Requirements
  • U.S. Citizenship required
  • Active Secret Clearance required
  • Minimum of 3–5 years experience in data science
  • Minimum of 3–5 years experience with Retrieval-Augmented Generation (RAG), LLM prompting techniques, and vector-based search
  • Minimum of 3–5 years experience supporting Agile application development
  • Experience building applications or workflows in Palantir Foundry, including data connections, ontology modeling, App Builder, or AIP workflows
  • Proficiency in Python or equivalent languages for data transformation and model integration
  • Experience deploying AI-enabled applications into production or mission operational environments
  • Experience supporting data ingestion, transformation, and pipeline orchestration within enterprise data platforms
  • Experience working with code repositories, version control, or collaborative development workflows
  • Ability to translate ambiguous problem statements into well-scoped technical solutions
  • Strong communication skills and comfort partnering with technical and mission stakeholders

Preferred Qualifications

  • TypeScript knowledge
  • Experience developing applications for federal missions or secure environments
  • Familiarity with agentic workflows or advanced AIP capabilities
Why Join Blue Rose?
  • Support cutting-edge AI and data modernization initiatives within secure federal environments
  • Work with advanced Palantir Foundry, RAG, and AI-enabled workflow technologies
  • Collaborate with mission, technical, and analytics teams in a secure federal environment
  • Contribute to high-impact, scalable solutions that modernize how federal organizations make data-driven decisions
Apply Today

Email: bluerosestaffing@bluerose-consulting.com
Website: www.bluerose-consulting.com/careers
LinkedIn: https://www.linkedin.com/company/blue-rose-consulting-group-inc/

Apply