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Retrieval Augmented Generation Jobs in Raleigh, NC

Deloitte

Oracle Gen AI Manager

Raleigh, NC · On-site

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

RELX

Principal Data Scientist I (Raleigh)

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

RELX

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

LexisNexis

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

RELX Group plc

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

LexisNexis

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG * Embedding strategies and semantic search systems * Knowledge graph integration and graph-enhanced intelligence

RELX

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136K - $252K/yr

You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent ...

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All JobsRetrieval Augmented Generation JobsRetrieval Augmented Generation Jobs in Raleigh, NC

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Raleigh, NC? The most popular types of Retrieval Augmented Generation jobs in Raleigh, NC are:
What are popular job titles related to Retrieval Augmented Generation jobs in Raleigh, NC? For Retrieval Augmented Generation jobs in Raleigh, NC, the most frequently searched job titles are:
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Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Raleigh, NC as of August 2026, with employment types broken down into 66% Full Time, 29% Part Time, and 5% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

Principal Technical Product Owner - AI Platform

First Citizens Bank

Raleigh, NC • On-site

Full-time

Re-posted 2 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks

Job description

Overview

The Technical Product Owner is a highly visible principal-level product leader, responsible for driving the successful delivery and adoption of enterprise AI initiatives, platforms, and solutions. This role combines product ownership, technical acumen, and program execution to translate business opportunities into scalable AI capabilities that deliver measurable value.

The role partners closely with business stakeholders, architects, engineering teams, data teams, security, governance, and platform providers to define requirements, prioritize roadmaps, manage delivery, and ensure successful implementation of AI-powered solutions. This individual serves as the bridge between strategy and execution, ensuring AI initiatives progress from concept to production while aligning with enterprise architecture, security, and governance standards.


Responsibilities

AI Product Strategy & Delivery

  • Own the end-to-end delivery lifecycle for AI initiatives, platforms, and use cases.
  • Partner with business stakeholders to identify, evaluate, and prioritize AI opportunities.
  • Translate business objectives into actionable product roadmaps, epics, user stories, and delivery plans.
  • Define MVPs, phased releases, and adoption strategies for Data & AI solutions.
  • Drive execution across multiple initiatives simultaneously while managing dependencies, risks, and timelines.
  • Establish success metrics and KPIs to measure business value and platform adoption.

AI Use Case Enablement

  • Lead discovery, requirements gathering, and solution definition for AI use cases across the enterprise.
  • Facilitate workshops with business and technology stakeholders to refine use case scope and expected outcomes.
  • Support use case evaluation, feasibility analysis, and prioritization.
  • Coordinate proof-of-concepts, pilots, and production implementations.
  • Ensure AI solutions are aligned with enterprise standards, governance requirements, and business objectives.

Technical Product Ownership

  • Collaborate with architects and engineering teams to define solution requirements and technical capabilities.
  • Develop and maintain product backlogs, user stories, acceptance criteria, and release plans.
  • Internal
  • Participate in architecture reviews, design discussions, and solution planning activities.
  • Understand AI architecture patterns including RAG (Retrieval-Augmented Generation), Agentic AI , Graph RAG, AI Assistants & Copilots, Knowledge Management Platforms, Model Orchestration Frameworks
  • Ensure technical requirements align with scalability, security, reliability, and operational objectives.

AWS & Data Platform Collaboration

  • Partner with cloud, platform, and data engineering teams to deliver AI capabilities leveraging AWS Bedrock, Snowflake Cortex AI, Snowflake Native AI capabilities
  • Coordinate platform onboarding, integration, testing, and production readiness activities.
  • Drive adoption of reusable platform capabilities, patterns, and accelerators.

Stakeholder Management & Governance

  • Serve as the primary liaison between business stakeholders and technology delivery teams.
  • Present roadmap progress, risks, dependencies, and outcomes to leadership.
  • Coordinate with Security, Risk, Compliance, Architecture Review Boards, and AI Governance teams.
  • Ensure AI initiatives comply with enterprise policies and responsible AI practices.
  • Manage vendor engagements, proof-of-concepts, and external partnerships.

Leadership & Best Practices

  • Champion agile product management and iterative delivery practices.
  • Drive alignment across business, architecture, engineering, and governance teams.
  • Promote reuse of AI platform capabilities and enterprise standards.
  • Foster collaboration, transparency, and continuous improvement.
  • Stay informed on emerging AI technologies, market trends, and industry best practices.

Qualifications

Bachelor's Degree and 8 years of experience in Product Management, Scrum, Agile OR High School Diploma or GED and 12 years of experience in Product Management, Scrum, Agile

Preferred Qualifications

  • 8+ years of experience in Product Management, Product Ownership, Program Delivery, Technology Delivery, or related leadership roles.
  • 3+ years of experience delivering AI, Data, Analytics, Cloud, or Digital Transformation initiatives in enterprise environments.
  • Proven ability to lead complex cross-functional programs involving business stakeholders, architecture, engineering, security, and governance teams.
  • Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and emerging AI technologies.
  • Hands-on knowledge of cloud-native architectures and services, preferably AWS, including AI/ML, data, integration, and platform capabilities.
  • Experience working with Agile methodologies, backlog management, roadmap planning, user story development, release management, and product lifecycle processes.
  • Excellent communication, stakeholder management, and executive presentation skills, with the ability to translate business needs into scalable technical solutions.
  • Experience delivering Enterprise AI Platforms or large-scale AI products.
  • Experience with AWS Bedrock, Snowflake Cortex AI, Vector Databases, GraphRAG, and Agentic AI solutions.
  • Experience within Banking, Financial Services, or other regulated industries.
  • Product Owner (CSPO, SAFe POPM) and/or AWS Cloud/AI certifications.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 8 years of experience in Product Management, Scrum, Agile OR High School Diploma or GED and 12 years of experience in Product Management, Scrum, Agile

Preferred Qualifications

  • 8+ years of experience in Product Management, Product Ownership, Program Delivery, Technology Delivery, or related leadership roles.
  • 3+ years of experience delivering AI, Data, Analytics, Cloud, or Digital Transformation initiatives in enterprise environments.
  • Proven ability to lead complex cross-functional programs involving business stakeholders, architecture, engineering, security, and governance teams.
  • Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and emerging AI technologies.
  • Hands-on knowledge of cloud-native architectures and services, preferably AWS, including AI/ML, data, integration, and platform capabilities.
  • Experience working with Agile methodologies, backlog management, roadmap planning, user story development, release management, and product lifecycle processes.
  • Excellent communication, stakeholder management, and executive presentation skills, with the ability to translate business needs into scalable technical solutions.
  • Experience delivering Enterprise AI Platforms or large-scale AI products.
  • Experience with AWS Bedrock, Snowflake Cortex AI, Vector Databases, GraphRAG, and Agentic AI solutions.
  • Experience within Banking, Financial Services, or other regulated industries.
  • Product Owner (CSPO, SAFe POPM) and/or AWS Cloud/AI certifications.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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