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Ai Rag Jobs in Silver Spring, MD (NOW HIRING)

Enterprise AI architect

Washington, DC · Hybrid

$78 - $100.75/hr

Hands-on expertise with Azure AI Foundry , including Agentic AI, RAG, model orchestration, and evaluation pipelines * Strong experience with the Microsoft Copilot ecosystem (M365 Copilot, Copilot ...

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Ai Rag information

See Silver Spring, MD salary details

$33.1K

$60.2K

$86.3K

How much do ai rag jobs pay per year?

As of Jun 21, 2026, the average yearly pay for ai rag in Silver Spring, MD is $60,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $67,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 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 are AI RAGs?

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 some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 job categories do people searching Ai Rag jobs in Silver Spring, MD look for? The top searched job categories for Ai Rag jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Ai Rag jobs? Cities near Silver Spring, MD with the most Ai Rag job openings:

Senior Data Scientist II - Generative AI / RAG / Agentic AI

LexisNexis

Washington, DC

$125K - $209K/yr

Full-time

Posted 10 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 rated business services


Job description

Are you excited to shape the next generation of AIpowered drafting and search experiences at scale?

Do you want to work on advanced Generative AI systems that turn complex information into clear, trusted insights?
About our Team
You will join a multidisciplinary team of data scientists, engineers, and product partners focused on building intelligent, reliable, and responsible AI solutions for legal and business professionals. We work collaboratively, value thoughtful experimentation, and prioritize highquality, productionready outcomes.
About the Role
As aSenior Data Scientist II, you will design and improveGenerative AI, RetrievalAugmented Generation (RAG),andagentic RAG systemsthat power drafting, search, and reasoning use cases. You will focus on retrieval quality, evaluation, and productiongrade machine learning components, working closely with crossfunctional partners to deliver measurable improvements in relevance, accuracy, and user trust.
Responsibilities
  • Design, build, and optimizeGenerative AI, RAG, andagentic RAGsystems for drafting, search, and reasoning use cases
  • Improve LLMgenerated outputs through prompt design, retrieval optimization, evaluation, and experimentation
  • Develop and maintain scalable data science and machine learning components for production environments
  • Build and enhance retrieval pipelines, including query processing, document retrieval, ranking, reranking, and grounding strategies
  • Apply text search and relevance tuning techniques using platforms such as OpenSearch and Solr
  • Use embeddings, hybrid retrieval, semantic search, and reranking methods to improve answer quality and system performance
  • Write highquality, maintainable, productionready Python code following strong software engineering practices
  • Collaborate closely with partners across data science, engineering, product, and domain teams
Requirements
  • Proven experience building and improvingGenerative AIandLLMbasedsolutions in production or nearproduction settings
  • Strong experience withRAG frameworks, retrievalbased AI architectures, andagentic workflows
  • Advanced Pythonskills, including modular design, testing, debugging, and clean coding practices
  • Strong understanding of information retrieval, text search methods, and retrieval architectures
  • Handson experience withOpenSearch, Solr,or similar search platforms
  • Experience withembeddings, semantic retrieval, reranking, and relevance optimization
  • Proven ability to work effectively in a monorepo environment with disciplined version control and code review practices
  • Experience collaborating in crossfunctional teams and contributing to CI/CD and deployment workflows
Work in a Way That Works for You
We promote flexible ways of working that support collaboration, focus, and personal wellbeing, while meeting the needs of our teams and customers.
Working Pattern
This role supports flexible working arrangements, balancing individual productivity with team collaboration.
About the Business
You will be part of the LNLP division, within the Standard business unit, delivering trusted information and technology solutions that help professionals make confident decisions.
#AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784. This job is eligible for an annual incentive bonus.

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