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Ai Rag Jobs in Oregon (NOW HIRING)

OR · On-site

Stay up-to-date with the latest AI/LLM patterns (RAG, retrieval, routing, tool-use, evals) and help teams apply them effectively. * Mentor engineers and promote knowledge sharing across teams. Team ...

OR · On-site

RAG, LLM orchestration, agentic workflows, and modern AI evaluation and guardrails. You see AI tools as essential infrastructure for modern engineering. * You can rapidly prototype with modern tools ...

Stay up-to-date with the latest AI/LLM patterns (RAG, retrieval, routing, tool-use, evals) and help teams apply them effectively. * Mentor engineers and promote knowledge sharing across teams. Team ...

Build integrations for semantic search and Retrieval-Augmented Generation (RAG) workflows ... AI Lifecycle Expertise: Experience across the software stack, including fine-tuning, inference ...

OR · On-site

$124K - $148K/yr

Work on the "Context Fabric" to implement search and retrieval patterns (like RAG) that help agents ... AI & Agentic Interests (Specialized Focus) * LLM Awareness: Familiarity with LLM concepts and ...

OR · On-site

$124K - $148K/yr

Work on the "Context Fabric" to implement search and retrieval patterns (like RAG) that help agents ... AI & Agentic Interests (Specialized Focus) * LLM Awareness: Familiarity with LLM concepts and ...

A strong background in AI/ML and experience with independent projects using LLMs, foundation models, or RAG. * System Design: A solid understanding of software engineering principles, including APIs ...

Develop and deliver AI-driven enterprise quality software applications. * Build scalable ... Proven ability to build RAG solutions usingLangChain/LlamaIndexand vector databases * Strong ...

Develop and deliver AI-driven enterprise quality software applications. * Build scalable ... Proven ability to build RAG solutions usingLangChain/LlamaIndexand vector databases * Strong ...

Deep knowledge of Generative AI , including LLM orchestration (LangChain/LlamaIndex), prompt engineering, and RAG. * Software Engineering: Background in Python, Node.js, or similar, with experience ...

OR · On-site

$60 - $78/hr

RAG & Prompt Engineering: Architect robust Retrieval-Augmented Generation (RAG) pipelines and ... Ensure AI workloads are secure, multi-tenant, and optimized for GPU resource scheduling (MIG ...

OR · On-site

$132K - $198K/yr

Architect and lead delivery of production AI systems: multi-agent orchestration platforms, RAG and GraphRAG knowledge systems, LLM-powered workflows, and enterprise context graph initiatives spanning ...

New

Data/RAG Pipeline Design & Management * Develop and automate ELT/ETL processes to support both BI Analytics and AI retrieval across similar datasets with different access patterns. * Build evaluation ...

$32 - $40/hr

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Build agent and RAG pipelines using frameworks such as LangChain, LlamaIndex, Semantic Kernel ... AI Guardrails & Responsible Use * Design and implement guardrails for every AI-assisted workflow ...

New

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Showing results 1-20

Ai Rag information

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 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 cities in Oregon are hiring for Ai Rag jobs? Cities in Oregon with the most Ai Rag job openings:
Principal Solution Architect, AI Agents

Principal Solution Architect, AI Agents

Wolters Kluwer

OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Wolters Kluwer rating

8.8

Company rating: 8.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies


Job description

Principal Solution Architect, AI Agents

Help product engineering teams design and implement scalable AI solutions that leverage WK's GenAI platform to drive impact in healthcare, legal, tax, and compliance industries. Your expertise will enable teams to deliver innovative solutions at scale.

About this role

Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. As aPrincipal Solution Architect, you will play a critical role in enabling these teams to design and implement solutions that leverage the platform effectively.

You'll act as a trusted advisor, helping teams navigate technical challenges, design scalable architectures, and prototype solutions. In addition to creating proof-of-concepts to demonstrate best practices and accelerate adoption, you'll play a key role in driving the evolution of the GenAI platform by identifying gaps, proposing enhancements, and collaborating with platform engineering teams to deliver new capabilities.

This high-impact role requires a deep understanding of AI agent development, cloud-native architectures, and the ability to collaborate across diverse teams. You'll work closely with engineering, product, and domain experts to ensure the platform delivers measurable outcomes for the organization.

Tech stack

You don't need to know all of these on day one, but you should be ready to learn quickly.

  • TypeScript, Node.js, React, Python, LangChain, MCP/A2A, Rust
  • AWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions
  • DocumentDB, DynamoDB, OpenSearch, Azure AI Search
  • Azure OpenAI, AWS Anthropic, Google Gemini
  • GitHub, Confluence, Slack
What you'll do
  • Partner with product teams to design scalable, secure, and reliable solutions that leverage the GenAI platform.
  • Provide technical consulting and guidance on best practices for AI agent development, deployment, and integration.
  • Rapidly prototype solutions to demonstrate platform capabilities and accelerate adoption.
  • Collaborate with platform engineering teams to identify and address gaps in platform capabilities based on customer needs.
  • Conduct architecture reviews, threat modeling, and design sessions to ensure solutions meet security, privacy, and compliance requirements.
  • Act as a bridge between platform and product teams, ensuring alignment on technical and business goals.
  • Stay up-to-date with the latest AI/LLM patterns (RAG, retrieval, routing, tool-use, evals) and help teams apply them effectively.
  • Mentor engineers and promote knowledge sharing across teams.
Team context
  • Org and Sub-teams: Central GenAI Platform within Wolters Kluwer, driving innovation across businesses by creating re-usable platform services and components. Sub-teams are fewer than 10 engineers, focused on platform services or customer-facing agents.
  • Culture and Reporting: We value a "manager of one" mindset, where outcomes matter more than optics. Authority is earned through demonstrated impact, not tenure or title. You'll report directly to the Director of Engineering, AI Platform.
  • Team Size and Impact: Our globally distributed team of ~100 engineers combines the stability of an established company with the agility of a startup. We are moving fast, and there are many areas where you can have a big impact.
Minimum qualifications
  • 8+ years of professional software engineering or solution architecture experience.
  • Strong experience designing and implementing cloud-native architectures (AWS/Azure/GCP).
  • Proven ability to rapidly prototype solutions and demonstrate technical concepts.
  • Excellent problem-solving, ownership, and cross-functional communication skills.
Nice to have
  • Expertise in health, legal, tax, or compliance domains.
  • Experience consulting or working directly with product teams to deliver AI solutions.
  • Familiarity with LangChain, MCP, vector/RAG systems, and OpenSearch.
  • Understanding of LLMs, their failure modes, and techniques like fine-tuning and model adaptation.
  • Experience with regulatory frameworks such as SOC2, HIPAA, etc.
  • Proven ability to deliver software products independently or as part of a small, fast-paced team.
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$146,900.00 - $262,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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