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Salaried Rag Jobs in Raleigh, NC (NOW HIRING)

Artificial Intelligence Engineer

Raleigh, NC ยท On-site

$53.75 - $69.25/hr

Senior AWS AI Platform Engineer - Generative AI | RAG | Agentic AI Location: Raleigh, NC (Hybrid) Salary: $110,000 - $130,000 + Benefits I'm currently supporting a leading enterprise organisation as ...

Senior AI Engineer

Raleigh, NC ยท On-site

$161K - $249K/yr

The salary range for this position takes into account the wide range of factors that are considered ... Architect and optimize advanced RAG pipelines, including hybrid retrieval, re-ranking, and multi ...

Brainstorm AI use cases and implement Appian's AI tools (RAG, agentic workflows, prompt engineering ... Compensation & Benefits The base salary is between $100,000 and $225,000 per year. A discretionary ...

Project Manager - Learning

Durham, NC ยท Hybrid

$75K - $100K/yr

Develop visibility dashboards (velocity, burn-down, RAG, capacity tracking). * Identify systemic ... The Annual Salary Range for this role is: $75,000 - $100,000 Please note, this is a standard range ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed ... Total individual compensation (base salary, short & long-term incentives) offered will take into ...

Project Manager - Learning

Durham, NC ยท On-site

$75K - $100K/yr

Develop visibility dashboards (velocity, burn-down, RAG, capacity tracking). * Identify systemic ... The Annual Salary Range for this role is: $75,000 - $100,000 Please note, this is a standard range ...

Project Manager - Learning

Durham, NC ยท On-site

$75K - $100K/yr

Develop visibility dashboards (velocity, burn-down, RAG, capacity tracking). * Identify systemic ... The Annual Salary Range for this role is: $75,000 - $100,000 Please note, this is a standard range ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed ... Total individual compensation (base salary, short & long-term incentives) offered will take into ...

Project Manager - Learning

Durham, NC ยท Hybrid

$75K - $100K/yr

Develop visibility dashboards (velocity, burn-down, RAG, capacity tracking). * Identify systemic ... The Annual Salary Range for this role is: $75,000 - $100,000 Please note, this is a standard range ...

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Showing results 1-20

Salaried Rag information

See Raleigh, NC salary details

$31.1K

$56.6K

$81.2K

How much do salaried rag jobs pay per year?

As of Jul 28, 2026, the average yearly pay for salaried rag in Raleigh, NC is $56,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $63,200.00 per year, depending on experience, location, and employer.

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are popular job titles related to Salaried Rag jobs in Raleigh, NC? For Salaried Rag jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Salaried Rag jobs in Raleigh, NC look for? The top searched job categories for Salaried Rag jobs in Raleigh, NC are:
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Henderson Scott

Raleigh, NC โ€ข On-site

$53.75 - $69.25/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Senior AWS AI Platform Engineer โ€“ Generative AI | RAG | Agentic AI

Location: Raleigh, NC (Hybrid)

Salary: $110,000 โ€“ $130,000 + Benefits

I'm currently supporting a leading enterprise organisation as they continue to expand their AI capability with the appointment of a Senior AWS AI Platform Engineer.

This is an opportunity to play a key role in designing and delivering enterprise-scale AI solutions, working alongside Cloud Infrastructure, Security, Data Engineering, Enterprise Architecture and Application Development teams to accelerate the adoption of Generative AI across the business.

Key Responsibilities

  • Design and implement enterprise-scale Retrieval-Augmented Generation (RAG) solutions.
  • Build AI Agents and multi-agent workflows using AWS native AI services.
  • Develop reusable AI integration patterns and reference architectures.
  • Support the onboarding of business applications onto an enterprise AI platform.
  • Design scalable, secure and resilient cloud-native AI solutions on AWS.
  • Drive AI governance, observability and best practices across multiple AI initiatives.
  • Act as the technical lead across cross-functional engineering teams.

Key Technologies

  • AWS: Bedrock, SageMaker, Knowledge Bases, OpenSearch, Lambda, ECS, EKS, API Gateway, CloudFormation, Terraform, EventBridge, IAM, VPC, S3 and related services.
  • AI: RAG, Agentic AI, Vector Databases, Embeddings, Semantic Search, Prompt Engineering, LangChain, LangGraph, LlamaIndex, Bedrock Agents and Guardrails.
  • Development: Python, Java, REST APIs, SQL, NoSQL, Git and CI/CD.

What We're Looking For

  • 10+ years' experience in Cloud Engineering, Platform Engineering or Enterprise Architecture.
  • Commercial experience building Generative AI solutions on AWS.
  • Hands-on experience with RAG architectures and AI Agents.
  • Strong AWS platform engineering experience.
  • Excellent stakeholder management and technical leadership skills.
  • Experience within enterprise or regulated environments is highly desirable.

This is an excellent opportunity to join an organisation making significant investment in AI, where you'll have the chance to influence architecture, engineering standards and the future direction of enterprise AI adoption.

If you'd like to hear more, please apply or get in touch for a confidential discussion.