Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps ... controls and developer-ready guardrails. Technologies You'll Work With Languages & Frameworks:
Vector databases (Pinecone, Weaviate, Elastic), Knowledge Graphs, RAG pipelines, LLMOps/MLOps ... controls and developer-ready guardrails. Technologies You'll Work With Languages & Frameworks:
Generative AI / LLM / RAG experience * COBOL / Mainframe knowledge * Docker, Kubernetes, Helm * Java
New
Generative AI / LLM / RAG experience * COBOL / Mainframe knowledge * Docker, Kubernetes, Helm * Java
New
Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses ...
Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses ...
Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...
Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...
Python - AI Engineer Contractor
Cary, NC · On-site
Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS ... Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and ...
Python - AI Engineer Contractor
Cary, NC · On-site
Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS ... Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and ...
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 ...
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 ...
Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS ... Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and ...
Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS ... Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and ...
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 ...
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 ...
Architect, Data AI
Durham, NC · On-site
$61.50 - $79.25/hr
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) as a core component of RAG pipelines. Familiarity with data engineering principles and cloud-based data pipelines.
Architect, Data AI
Durham, NC · On-site
$61.50 - $79.25/hr
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) as a core component of RAG pipelines. Familiarity with data engineering principles and cloud-based data pipelines.
Architect, Data AI
$61.50 - $79.25/hr
... RAG pipelines. • Familiarity with data engineering principles and cloud-based data pipelines. • Strong judgment translating ambiguous business problems into concrete AI/ML solutions -- and the ...
Architect, Data AI
$61.50 - $79.25/hr
... RAG pipelines. • Familiarity with data engineering principles and cloud-based data pipelines. • Strong judgment translating ambiguous business problems into concrete AI/ML solutions -- and the ...
Architect, Data AI
Durham, NC · On-site
$61.50 - $79.25/hr
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) as a core component of RAG pipelines. Familiarity with data engineering principles and cloud-based data pipelines.
Architect, Data AI
Durham, NC · On-site
$61.50 - $79.25/hr
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) as a core component of RAG pipelines. Familiarity with data engineering principles and cloud-based data pipelines.
Architect, Data AI
$61.50 - $79.25/hr
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) as a core component of RAG pipelines. Familiarity with data engineering principles and cloud-based data pipelines.
Architect, Data AI
$61.50 - $79.25/hr
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus) as a core component of RAG pipelines. Familiarity with data engineering principles and cloud-based data pipelines.
Architect, Data AI
Durham, NC · On-site
$61.50 - $79.25/hr
... RAG pipelines. • Familiarity with data engineering principles and cloud-based data pipelines. • Strong judgment translating ambiguous business problems into concrete AI/ML solutions - and the ...
Architect, Data AI
Durham, NC · On-site
$61.50 - $79.25/hr
... RAG pipelines. • Familiarity with data engineering principles and cloud-based data pipelines. • Strong judgment translating ambiguous business problems into concrete AI/ML solutions - and the ...
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 ...
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 ...
Develop and optimize Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, semantic search, and prompt orchestration frameworks. * Engineer scalable AI and ML ...
Develop and optimize Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, semantic search, and prompt orchestration frameworks. * Engineer scalable AI and ML ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Rag Developer information
What is the difference between Rag Developer vs Textile Technician?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved in testing, quality assurance, and technical support in textile production |
Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.
What are popular job titles related to Rag Developer jobs in Raleigh, NC? For Rag Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Raleigh, NC look for? The top searched job categories for Rag Developer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Rag Developer jobs? Cities near Raleigh, NC with the most Rag Developer job openings:
Deloitte rating
8.1
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.
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.
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: