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Rag Engineer Jobs in Raleigh, NC (NOW HIRING)

Dlapiper

AI Solutions Engineer

Raleigh, NC · Hybrid

Understanding of ML models, ability to select the correct models and solution patterns, various RAG ... Ability to apply core engineering for solutions design, rapidly learn, test and certify new ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

HCL America Inc.

Senior AI Engineer

Durham, NC · Hybrid

$111K - $146.30K/yr

HCL Technologies Limited HCLTech is seeking a highly motivated Senior Software Engineer to join an ... LLM / RAG experience * Agile development, CI/CD, cloud platforms Nice to Have * COBOL or mainframe ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · On-site +1

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · On-site +1

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Raleigh, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Frontier Technology Inc.

AI/ML Engineer

Durham, NC · Remote

$140K - $220K/yr

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

... as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ... ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106.10K - $127.40K/yr

... as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ... ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

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Showing results 1-20

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All JobsRag Engineer JobsRag Engineer Jobs in Raleigh, NC

Rag Engineer information

See Raleigh, NC salary details

$57.8K

$88K

$149.2K

How much do rag engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for rag engineer in Raleigh, NC is $87,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $102,100.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What are popular job titles related to Rag Engineer jobs in Raleigh, NC? For Rag Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Raleigh, NC look for? The top searched job categories for Rag Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Rag Engineer jobs? Cities near Raleigh, NC with the most Rag Engineer job openings:
Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 13% Physical, 26% Hybrid, and 61% Remote job distribution, with an average salary of $87,984 per year, or $42.3 per hour.
Cyber AI Data Engineer Senior Consultant

Cyber AI Data Engineer Senior Consultant

Deloitte

Raleigh, NC • On-site

Other

Posted 17 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to build the data foundations that power the next generation of AI-enabled cyber defense?

If yes, then Deloitte's Cyber team could be the place for you.

We are looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. You will design production-grade pipelines and services that support risk reporting, continuous controls monitoring, and AI-assisted security operations-built with strong governance, lineage, privacy-by-design, and audit-ready evidence.

This role is ideal for engineers who can bridge modern data engineering and software development with Governance, Risk, and Compliance (GRC) expectations in regulated enterprise environments.

Recruiting for this role ends on 6/5/2026.

Work You'll Do

As a Senior Consultant, you will design, build, and run trusted data and AI foundations that enable cyber risk and compliance outcomes, including:

         Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores (lakehouse/warehouse).

         Designing data models for risk and controls domains (KRIs, issues/defects, risk acceptance, control testing outcomes, audit evidence, policy exceptions) and enabling self-service analytics and dashboards.

         Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.

         Developing AI-enabled capabilities that accelerate GRC and cyber operations-such as evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, and exception reasoning-using agentic patterns including tool/function calling, workflow orchestration, and Retrieval-Augmented Generation (RAG).

         Engineering secure integrations between data platforms, GRC workflows, and enterprise systems (APIs, event patterns, connectors), with observability and runbooks for production support.

         Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

Technologies You'll Work With

         Languages & Frameworks: Python, SQL, Java/Go/JavaScript; LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel

         Data & AI Platforms: Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps tooling

         Cloud & Infrastructure: AWS, Azure, or GCP; Kubernetes, Docker, Terraform/IaC, GitOps CI/CD

         GRC & Security: ServiceNow GRC, Archer, OneTrust, BigID; SIEM/SOAR data, vulnerability data, identity logs

The Team

You will join a cyber engineering team focused on enabling resilient, secure, and compliant operations through modern data platforms and AI-enabled automation. The team builds repeatable assets-reference architectures, accelerators, and governance patterns-to help clients modernize and scale cyber and GRC programs.

Qualifications

Required

         Bachelor's degree or equivalent practical experience.

         4+ years of hands-on experience in data engineering and software development (Python and SQL required).

         Demonstrated experience building production data pipelines and data models (batch and/or streaming) with strong engineering discipline (CI/CD, testing, monitoring, incident response).

         Demonstrated experience implementing governance controls in data and AI systems: data classification, PII handling, least-privilege access, encryption/secrets, retention, audit logging, and lineage/metadata.

         Experience supporting GRC workflows and evidence needs (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, or GRC tooling integrations).

         Practical experience building agentic or LLM-enabled applications in enterprise settings (RAG, vector/hybrid retrieval, tool/function calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns).

         Experience with one or more major cloud platforms and modern deployment patterns (containers, IaC, secured APIs, secrets management).

         Ability to travel 0-25%, on average, based on client and project needs.

         Limited immigration sponsorship may be available.

Preferred

         Previous consulting or Big 4 experience.

         Hands-on experience with Java, Go, or JavaScript a plus.

         Experience integrating with governance and privacy platforms (e.g., ServiceNow GRC, OneTrust) and building evidence pipelines that map to control objectives.

         Experience with security telemetry pipelines (SIEM/SOAR data, vulnerability data, identity logs, cloud security posture findings).

         Experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, versioning, governance workflows).

         Security certifications (Security+, CISM, CISA, CISSP, cloud certifications) or equivalent experience building secure systems.

         Experience working with cross-functional stakeholders and translating control requirements into implementable engineering tasks.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 - 218,600. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberDTP27

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to build the data foundations that power the next generation of AI-enabled cyber defense?

If yes, then Deloitte's Cyber team could be the place for you.

We are looking for a hands-on Data Engineer to build and operate the governed data foundations powering cyber risk, compliance evidence, and agentic AI-enabled cyber workflows. You will design production-grade pipelines and services that support risk reporting, continuous controls monitoring, and AI-assisted security operations-built with strong governance, lineage, privacy-by-design, and audit-ready evidence.

This role is ideal for engineers who can bridge modern data engineering and software development with Governance, Risk, and Compliance (GRC) expectations in regulated enterprise environments.

Recruiting for this role ends on 6/5/2026.

Work You'll Do

As a Senior Consultant, you will design, build, and run trusted data and AI foundations that enable cyber risk and compliance outcomes, including:

         Building scalable batch and stream processing pipelines that ingest security telemetry, control evidence, and compliance artifacts into governed data stores (lakehouse/warehouse).

         Designing data models for risk and controls domains (KRIs, issues/defects, risk acceptance, control testing outcomes, audit evidence, policy exceptions) and enabling self-service analytics and dashboards.

         Implementing data quality checks, lineage, metadata, and access controls to support auditability, regulatory defensibility, and repeatable evidence generation.

         Developing AI-enabled capabilities that accelerate GRC and cyber operations-such as evidence summarization, control testing assist, policy Q&A, investigation copilots, ticket triage, and exception reasoning-using agentic patterns including tool/function calling, workflow orchestration, and Retrieval-Augmented Generation (RAG).

         Engineering secure integrations between data platforms, GRC workflows, and enterprise systems (APIs, event patterns, connectors), with observability and runbooks for production support.

         Partnering with Cyber, Risk, Compliance, Privacy, and Legal stakeholders to translate requirements into implementable controls and developer-ready guardrails.

Technologies You'll Work With

         Languages & Frameworks: Python, SQL, Java/Go/JavaScript; LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel

         Data & AI Platforms: Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps tooling

         Cloud & Infrastructure: AWS, Azure, or GCP; Kubernetes, Docker, Terraform/IaC, GitOps CI/CD

         GRC & Security: ServiceNow GRC, Archer, OneTrust, BigID; SIEM/SOAR data, vulnerability data, identity logs

The Team

You will join a cyber engineering team focused on enabling resilient, secure, and compliant operations through modern data platforms and AI-enabled automation. The team builds repeatable assets-reference architectures, accelerators, and governance patterns-to help clients modernize and scale cyber and GRC programs.

Qualifications

Required

         Bachelor's degree or equivalent practical experience.

         4+ years of hands-on experience in data engineering and software development (Python and SQL required).

         Demonstrated experience building production data pipelines and data models (batch and/or streaming) with strong engineering discipline (CI/CD, testing, monitoring, incident response).

         Demonstrated experience implementing governance controls in data and AI systems: data classification, PII handling, least-privilege access, encryption/secrets, retention, audit logging, and lineage/metadata.

         Experience supporting GRC workflows and evidence needs (risk reporting, audit data requests, controls monitoring/testing, compliance metrics, or GRC tooling integrations).

         Practical experience building agentic or LLM-enabled applications in enterprise settings (RAG, vector/hybrid retrieval, tool/function calling, evaluation/monitoring, prompt-injection defenses, and secure access patterns).

         Experience with one or more major cloud platforms and modern deployment patterns (containers, IaC, secured APIs, secrets management).

         Ability to travel 0-25%, on average, based on client and project needs.

         Limited immigration sponsorship may be available.

Preferred

         Previous consulting or Big 4 experience.

         Hands-on experience with Java, Go, or JavaScript a plus.

         Experience integrating with governance and privacy platforms (e.g., ServiceNow GRC, OneTrust) and building evidence pipelines that map to control objectives.

         Experience with security telemetry pipelines (SIEM/SOAR data, vulnerability data, identity logs, cloud security posture findings).

         Experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, versioning, governance workflows).

         Security certifications (Security+, CISM, CISA, CISSP, cloud certifications) or equivalent experience building secure systems.

         Experience working with cross-functional stakeholders and translating control requirements into implementable engineering tasks.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 - 218,600. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberDTP27

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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