AI Engineer
Hillsboro, OR · On-site
Role Summary Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector ...
Hillsboro, OR · On-site
Role Summary Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector ...
Hillsboro, OR · On-site
Role Summary Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector ...
Hillsboro, OR · On-site
Role Summary Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector ...
Hillsboro, OR · On-site
Role Summary Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector ...
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Quick apply
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Quick apply
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
RAG system manipulation * Translate findings into structured, audit-ready documentation * Map ... Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
Camas, WA · On-site +1
Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems * Integrate AI solutions into enterprise ...
Camas, WA · On-site +1
Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems * Integrate AI solutions into enterprise ...
$115K - $150K/yr
Python expertise, with practical experience in LLMs, embeddings, and RAG architecture * 3 years of hands-on AI development experience * Demonstrated experience with generative AI models, including ...
$115K - $150K/yr
Python expertise, with practical experience in LLMs, embeddings, and RAG architecture * 3 years of hands-on AI development experience * Demonstrated experience with generative AI models, including ...
Developing AI-enabled capabilities that accelerate GRC and cyber operations-such as evidence ... Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps ...
Developing AI-enabled capabilities that accelerate GRC and cyber operations-such as evidence ... Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps ...
Portland, OR · Hybrid
Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...
Portland, OR · Hybrid
Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...
Portland, OR · On-site
$58.50 - $75.50/hr
... RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation ... AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured ...
Portland, OR · On-site
$58.50 - $75.50/hr
... RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation ... AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured ...
Portland, OR · Hybrid
$110.80K - $152.20K/yr
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
Portland, OR · Hybrid
$110.80K - $152.20K/yr
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...
Portland, OR · Hybrid
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms ...
Portland, OR · Hybrid
Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms ...
... RAG, evaluation, model deployment) • Proactively manage RAID (risks, assumptions, issues ... analytics/AI initiatives in consulting or enterprise environments • 4+ years of experience ...
... RAG, evaluation, model deployment) • Proactively manage RAID (risks, assumptions, issues ... analytics/AI initiatives in consulting or enterprise environments • 4+ years of experience ...
Lead workstreams for AI-enabled contact center transformation initiatives, helping clients ... Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation ...
Lead workstreams for AI-enabled contact center transformation initiatives, helping clients ... Familiarity with GenAI concepts such as prompt design, RAG, agent/tool-calling, model evaluation ...
$121.40K - $145.80K/yr
You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health ...
$121.40K - $145.80K/yr
You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health ...
Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. * Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
Quick apply
Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. * Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial ...
... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial ...
Portland, OR · On-site
... RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. • ...
Portland, OR · On-site
... RAG) pipelines with vector databases for domain-specific Q&A. • Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. • ...
... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. • Financial ...
Quick apply
... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. • Financial ...
$33.9K - $38.9K
5% of jobs
$38.9K - $43.9K
5% of jobs
$43.9K - $48.8K
6% of jobs
$51.8K is the 25th percentile. Wages below this are outliers.
$48.8K - $53.8K
14% of jobs
$53.8K - $58.8K
11% of jobs
The median wage is $60.9K / yr.
$58.8K - $63.7K
21% of jobs
$68.1K is the 75th percentile. Wages above this are outliers.
$63.7K - $68.7K
15% of jobs
$68.7K - $73.7K
11% of jobs
$73.7K - $78.6K
4% of jobs
$78.6K - $83.6K
5% of jobs
$83.6K - $88.6K
3% of jobs
$33.9K
$61.8K
$88.6K
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
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.
Role Summary
Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector search pipelines, and lightweight model training for predictive maintenance use cases.
Key Responsibilities
LLM & Inference Engineering:
Develop AI-driven features using LLMs, agentic patterns, RAG, and vector embeddings.
Orchestrate inference pipelines with Python and AWS AI services.
Build reusable components and prompt orchestration flows.
Predictive Analytics & Light Model Training:
Support predictive maintenance using classical ML techniques.
Perform lightweight training with AWS SageMaker, AutoML, and deploy inference endpoints.
AWS Engineering:
Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for scalable AI workflows.
Python Development:
Write modular, testable Python code for inference orchestration and backend integrations.
Collaboration & Delivery:
Work with product and engineering teams; document AI workflows; participate in design reviews.
Must-Have Skills
Strong proficiency in Python.
Hands-on experience with LLM inferencing, RAG architectures, and vector embeddings.
Working knowledge of AWS AI/ML services (SageMaker, Bedrock, Lambda, etc.).
Familiarity with classical ML concepts (regression, classification, anomaly detection).
Experience integrating models into production pipelines.
Understanding of prompt engineering and evaluation.