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Assistant Retrieval Augmented Generation Jobs in Pennsylvania

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Software Engineer

Newtown, PA · On-site

$100 - $125/hr

Help build and integrate Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g ... assistants, including writing effective prompts and reviewing AI-generated code for quality and ...

This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...

Software Engineer

Newtown, PA · On-site +1

$108K - $115K/yr

Help build and integrate Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g ... assistants, including writing effective prompts and reviewing AI-generated code for quality and ...

Product Manager

Newtown, PA · On-site +1

$105K - $118K/yr

Overview LSAC's mission is to advance law and justice by promoting access, equity, and fairness in law school admission, to broaden the pathway into legal education, and to support law schools, law ...

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and ...

GenAI Ops Solution Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

... Retrieval Augmented Generation (RAG), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities Enterprise GenAI Architecture * Define and govern the ...

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Assistant Retrieval Augmented Generation information

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

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The most popular types of Retrieval Augmented Generation jobs in Pennsylvania are:

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For Assistant Retrieval Augmented Generation jobs in Pennsylvania, the most frequently searched job titles are:

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Cities in Pennsylvania with the most Assistant Retrieval Augmented Generation job openings:

Infographic showing various Assistant Retrieval Augmented Generation job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

GenAI Context Engineer

System One

Pittsburgh, PA • On-site

Full-time

Re-posted 18 hours ago


Job description

Job Title: GenAI Context Engineer Duration : Permanent Full Time Location : Strongsville, OH, Dallas, TX, or Pittsburgh, PA. Work Mode : 5 Days Onsite Looking to hire a Context Engineer who will be responsible for designing, building, and optimizing the enterprise knowledge and retrieval foundation that powers Generative AI applications. This role focuses on enabling high quality, grounded, and context aware AI experiences through Retrieval Augmented Generation (RAG), semantic search, metadata engineering, and enterprise knowledge orchestration. The Context Engineer ensures AI systems retrieve the right information, from the right sources, at the right time — securely, accurately, and in alignment with enterprise governance standards. Future duties and responsibilities

  • Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications.
  • Build and optimize semantic retrieval pipelines, vector search implementations, and contextual grounding frameworks.
  • Develop ingestion pipelines for enterprise knowledge sources including SharePoint, Confluence, Jira, APIs, databases, and document repositories.
  • Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval relevance and AI response quality.
  • Implement permission aware retrieval and secure knowledge access aligned with enterprise governance and compliance requirements.
  • Design and optimize hybrid search architectures combining vector search, keyword search, and knowledge graph capabilities.
  • Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise knowledge into scalable AI ready knowledge structures.
  • Improve groundedness, citation accuracy, retrieval precision, and hallucination reduction across GenAI solutions.
  • Maintain knowledge lineage, auditability, and contextual traceability for enterprise AI workflows.
  • Support AI evaluation, observability, and continuous improvement initiatives for retrieval quality and search performance.
  • Work closely with governance, security, and compliance teams to ensure responsible and secure enterprise AI knowledge access.
  • Contribute to reusable enterprise knowledge engineering patterns and platform accelerators.
Required qualifications to be successful in this role
  • 6+ years of experience in knowledge engineering, enterprise search, data engineering, AI engineering, or platform engineering roles.
  • Experience building enterprise AI search or knowledge platforms in banking, financial services, healthcare, or other regulated industries.
  • Familiarity with knowledge graphs, ontology modeling, AI observability, and enterprise governance frameworks.
  • Understanding of responsible AI, groundedness evaluation, and enterprise compliance requirements for GenAI systems.
  • Hands on experience with Retrieval Augmented Generation (RAG), semantic search, embeddings, vector databases, and enterprise knowledge systems.
  • Strong programming skills in Python and experience with API based integrations.
  • Experience with GenAI and retrieval technologies such as: o Azure OpenAI / OpenAI o Azure AI Search o LangChain / Semantic Kernel o Elasticsearch / OpenSearch o Vector databases and embedding frameworks
  • Experience designing ingestion pipelines, metadata frameworks, chunking strategies, and contextual retrieval systems.
  • Strong understanding of enterprise data governance, access control, lineage, and permission aware retrieval. Experience integrating enterprise content systems including SharePoint, Confluence, Jira, document repositories, and enterprise APIs.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP and containerized environments.
  • Strong analytical, troubleshooting, and problem solving skills.
  • Excellent communication and collaboration skills with the ability to work across engineering, architecture, governance, and business teams.
Required Skills:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Microsoft Azure AI Solution
  • OpenAI
  • Python
  • Retrieval-Augmented Gen.(RAG)
Ref: #404-IT Pittsburgh


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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US