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Ai Rag Jobs in Oregon (NOW HIRING)

LTS

Lead AI Architect/Strategist

OR · On-site +1

Design and evaluate RAG architectures, including data ingestion, embeddings, vector search, retrieval strategies, and model orchestration. * Lead technical evaluations of emerging AI technologies ...

Tebra

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Data/RAG Pipeline Design & Management * * Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms. * Build evaluation into every ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows. * Develop intelligent automation ...

LTS

AI Platform and Harness Engineer

OR · On-site +1

Design, build, and maintain enterprise AI platform capabilities supporting Large Language Models (LLMs), AI agents, RAG, and Generative AI applications. * Develop reusable AI harnesses to automate ...

NewRocket

AI Platform Engineer-Anthropic-US West

OR · On-site +1

Global AI Center of Excellence Lead / AI Platform Architect About NewRocket NewRocket is the AI ... This includes enabling Claude and other LLM-powered applications; supporting RAG and agentic ...

New

NewRocket

AI Platform Engineer-Anthropic-US East

OR · On-site +1

Global AI Center of Excellence Lead / AI Platform Architect About NewRocket NewRocket is the AI ... This includes enabling Claude and other LLM-powered applications; supporting RAG and agentic ...

New

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows. * Develop intelligent automation ...

Particle41

AI Engineer

OR · On-site +1

Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. * Work closely with data engineering teams to build/maintain data pipelines ...

NewRocket

Agentic AI Architect-Anthropic-US East

$64.50 - $85/hr

Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in ... Design AI agents with defined roles, task boundaries, tool permissions, memory and context ...

New

NewRocket

Agentic AI Architect-Anthropic-US West

OR · On-site +1

$63 - $83/hr

Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in ... Design AI agents with defined roles, task boundaries, tool permissions, memory and context ...

New

Teledyne

AI Solution Analyst

Wilsonville, OR

Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms. * Assess capabilities, limitations, performance, model behavior, integration ...

Deloitte

Google AI Architect

Portland, OR

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies, embeddings, reranking, and grounding techniques. * Improve AI response quality through experimentation ...

phData

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

Strong understanding of Applied AI and modern machine learning systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, and agentic architectures. * Hands-on experience with ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

Principal Software Engineer, AI Location : Remote - US Clari + Salesloft are building the next era ... This includes a knowledge graph, RAG and retrieval systems, and the access control and governance ...

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All JobsAi Rag JobsAi Rag Jobs in Oregon

Ai Rag information

What is an AI RAG?

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 the key skills and qualifications needed to thrive as an AI researcher?

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 are common challenges faced by AI RAG 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 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 popular job titles related to Ai Rag jobs in Oregon?

For Ai Rag jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Oregon look for?

The top searched job categories for Ai Rag jobs in Oregon are:

What cities in Oregon are hiring for Ai Rag jobs?

Cities in Oregon with the most Ai Rag job openings:

Ai Rag jobs near you

Lead AI Architect/Strategist

LTS

OR • On-site, Remote

Full-time

Re-posted 10 hours ago

Job description

Location: United States - Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a Lead AI Architect / Strategist to define and lead the architecture, strategy, and implementation of next-generation AI solutions. This role will drive enterprise AI transformation by designing scalable AI platforms, enabling Generative AI capabilities, and guiding the adoption of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, and advanced analytics solutions.

The ideal candidate is a strategic technology leader with deep expertise in AI architecture, cloud platforms, enterprise systems, and data transformation who can bridge business objectives with innovative technical solutions. This individual will work across engineering, data, product, cybersecurity, and leadership teams to establish AI roadmaps, architecture standards, and secure AI solutions that deliver measurable mission and business value.

What You'll Do

  • Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals.
  • Design scalable AI platforms and solutions leveraging Generative AI, LLMs, RAG, AI agents, machine learning, and automation capabilities.
  • Architect intelligent AI systems that integrate models, data platforms, enterprise applications, and APIs.
  • Develop architecture patterns and best practices for: LLM-based applications, Agentic AI workflows, AI copilots and automation solutions, knowledge retrieval systems, data-driven decision support
  • Design and evaluate RAG architectures, including data ingestion, embeddings, vector search, retrieval strategies, and model orchestration.
  • Lead technical evaluations of emerging AI technologies, frameworks, and platforms.
  • Guide teams in implementing AI solutions from proof-of-concept through production deployment.
  • Establish AI governance practices supporting security, compliance, responsible AI, scalability, and operational excellence.
  • Collaborate with software engineers, data scientists, product teams, and enterprise architects to deliver AI-enabled solutions.
  • Provide technical leadership, mentorship, and guidance on AI architecture patterns and engineering best practices.
  • Communicate complex AI concepts and recommendations to technical teams, business stakeholders, and executive leadership.
  • Support innovation initiatives through prototypes, technical demonstrations, and AI transformation strategies.

What We're Looking For:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related technical field.
  • 10+ years of experience in software engineering, enterprise architecture, solution architecture, data architecture, or technology transformation.
  • 5+ years of experience designing and implementing AI/ML solutions, AI platforms, or intelligent automation solutions.
  • Strong experience architecting enterprise-scale technology solutions and distributed systems.
  • Proven experience with Generative AI, Large Language Models (LLMs), and AI application architectures.
  • Hands-on experience with AI concepts and technologies including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and embeddings, model orchestration, AI governance and lifecycle management
  • Experience with cloud AI platforms such as: Azure OpenAI / Azure AI Services, AWS Bedrock, Google Vertex AI
  • Experience with modern AI frameworks and tools such as: Lang Chain, Lang Graph' Llama Index, Semantic Kernel, OpenAI frameworks
  • Strong programming experience with Python or other modern programming languages.
  • Experience with data architecture, APIs, data pipelines, and enterprise system integration.
  • Understanding of MLOps/LLMOps practices, including monitoring, evaluation, deployment, and governance.
  • Ability to communicate complex technical concepts effectively with both technical and non-technical audiences.

Nice to Have:

  • Experience supporting Federal Government, healthcare, or other highly regulated environments.
  • Experience designing secure AI solutions within enterprise environments.
  • Experience with Kubernetes, containerized applications, cloud-native architectures, and modern DevOps practices.
  • Experience with enterprise architecture frameworks such as TOGAF.
  • Experience leading AI transformation initiatives from strategy through implementation.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!

Apply