Leverage your experience to lead data security initiatives, guide AI/ML engineers, and shape the ... RAG), Vector Databases, and Transparent Data Encryption (TDE) for SQL workloads. - Explore and ...
Leverage your experience to lead data security initiatives, guide AI/ML engineers, and shape the ... RAG), Vector Databases, and Transparent Data Encryption (TDE) for SQL workloads. - Explore and ...
Principal Solutions Architect
NC · On-site +1
... AI/ML, and data democratization. If you're looking for an exciting opportunity with a dynamic ... Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns
Principal Solutions Architect
NC · On-site +1
... AI/ML, and data democratization. If you're looking for an exciting opportunity with a dynamic ... Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns
Lead AI Application Security Engineer
NC · On-site +1
$59 - $78.75/hr
... data leakage, RAG pipelines, and AI supply chains * Design, implement, and maintain AI-aware ... Hands-on experience securing AI/ML platforms, LLM applications, agentic AI systems, or enterprise ...
Lead AI Application Security Engineer
NC · On-site +1
$59 - $78.75/hr
... data leakage, RAG pipelines, and AI supply chains * Design, implement, and maintain AI-aware ... Hands-on experience securing AI/ML platforms, LLM applications, agentic AI systems, or enterprise ...
Llm Ml Rag information
What is an llm ml rag job?
LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.
What are some typical challenges faced when working on retrieval-augmented generation (RAG) systems in large language model (LLM) machine learning roles?
Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.
What are the key skills and qualifications needed to thrive as an llm ml rag engineer, and why are they important?
To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.
What is the difference between Llm Ml Rag vs Data Scientist?
| Aspect | Llm Ml Rag | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in ML, AI, or related fields; certifications in ML frameworks | Degree in Computer Science, Statistics, or related; certifications in data analysis or ML |
| Work Environment | Research labs, AI development teams, tech companies | Business analytics, research, product development teams |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, tech, consulting firms |
| Common Search & Comparison | Often compared for ML specialization and research focus | Compared for data analysis, modeling, and business insights |
While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.
What are popular job titles related to Llm Ml Rag jobs in Rhode Island?
For Llm Ml Rag jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Llm Ml Rag jobs in Rhode Island look for?
The top searched job categories for Llm Ml Rag jobs in Rhode Island are:
What cities in Rhode Island are hiring for Llm Ml Rag jobs?
Cities in Rhode Island with the most Llm Ml Rag job openings:
Other
Re-posted 18 days ago
Job description
Principal Solutions Architect III - AI/Data Security (Contract) Cumberland, RI, 02864, United States
About the Role
Join our dynamic team as a Principal Solutions Architect III and drive the future of data protection and AI security within highly regulated environments. This pivotal contract position offers you the opportunity to architect cutting-edge solutions, influence enterprise strategy, and work alongside talented experts. Leverage your experience to lead data security initiatives, guide AI/ML engineers, and shape the organization's approach to responsible, future-proof data stewardship.
Responsibilities
- Define and own data protection strategy for structured, semi-structured, and unstructured data, ensuring alignment with NERC, SOX, CCPA, GDPR, and other mandates.
- Architect and deploy Azure Purview for advanced data classification and insider risk management.
- Lead secure implementation of AI data pipelines, including Retrieval-Augmented Generation (RAG), Vector Databases, and Transparent Data Encryption (TDE) for SQL workloads.
- Explore and assess emerging technologies such as Fully Homomorphic Encryption (FHE) and Differential Privacy (DP) for AI/LLM pipelines.
- Develop and execute legacy data de-duplication, archiving, and migration strategies, optimizing data lifecycle and mitigating retention risks.
- Implement and manage Data Loss Prevention (DLP) across endpoints, email, cloud storage, and collaboration platforms (Microsoft 365, SharePoint).
- Provide architectural guidance, author security patterns, develop threat models, and create actionable playbooks for product and AI/ML teams.
- Evaluate, integrate, and automate third-party tools for data discovery, tokenization, monitoring, and classification response.
- Define DSPM (Data Security Posture Management) strategy and data incident response protocols.
- Ensure compliance with all internal policies and standards.
Required Skills and Experience
- Bachelor's degree in Computer Science, Information Security, or related field, or equivalent experience.
- 10+ years of experience in information security or data architecture roles.
- Proven expertise in data protection, security architecture, and risk assessment.
- Proficiency with Azure Purview, Microsoft 365, SharePoint, and DLP implementations.
- Strong communication skills with demonstrated ability to influence stakeholders at all levels.
Preferred Skills
- Experience in utilities or regulated industries.
- Knowledge of data protection in data lakes or Azure Synapse.
- Background in LLM security or responsible AI design patterns.
- SANS/GIAC, CISSP, or Azure Security certification.
- Experience with legacy data cleanup and DSPM platforms.
- In-depth understanding of cryptographic standards and quantum-ready cryptography.
- Passion for AI safety, responsible data stewardship, and future-proofing sensitive workloads.
Benefits
- Opportunity to lead transformative data security initiatives in a forward-thinking, high-impact environment.
- Collaborate with top-tier experts and executive leadership on innovative projects.
- Expand your skills across the intersection of AI, data security, and cloud technologies.
- Great potential for contract extension or transition to full-time based on performance.
How to Apply
Ready to shape the future of data security and AI? Submit your resume and a brief cover letter outlining your experience in data protection and AI/ML security. Qualified candidates will be contacted promptly for interviews.
About the Role
Join our dynamic team as a Principal Solutions Architect III and drive the future of data protection and AI security within highly regulated environments. This pivotal contract position offers you the opportunity to architect cutting-edge solutions, influence enterprise strategy, and work alongside talented experts. Leverage your experience to lead data security initiatives, guide AI/ML engineers, and shape the organization's approach to responsible, future-proof data stewardship.
Responsibilities
- Define and own data protection strategy for structured, semi-structured, and unstructured data, ensuring alignment with NERC, SOX, CCPA, GDPR, and other mandates.
- Architect and deploy Azure Purview for advanced data classification and insider risk management.
- Lead secure implementation of AI data pipelines, including Retrieval-Augmented Generation (RAG), Vector Databases, and Transparent Data Encryption (TDE) for SQL workloads.
- Explore and assess emerging technologies such as Fully Homomorphic Encryption (FHE) and Differential Privacy (DP) for AI/LLM pipelines.
- Develop and execute legacy data de-duplication, archiving, and migration strategies, optimizing data lifecycle and mitigating retention risks.
- Implement and manage Data Loss Prevention (DLP) across endpoints, email, cloud storage, and collaboration platforms (Microsoft 365, SharePoint).
- Provide architectural guidance, author security patterns, develop threat models, and create actionable playbooks for product and AI/ML teams.
- Evaluate, integrate, and automate third-party tools for data discovery, tokenization, monitoring, and classification response.
- Define DSPM (Data Security Posture Management) strategy and data incident response protocols.
- Ensure compliance with all internal policies and standards.
Required Skills and Experience
- Bachelor's degree in Computer Science, Information Security, or related field, or equivalent experience.
- 10+ years of experience in information security or data architecture roles.
- Proven expertise in data protection, security architecture, and risk assessment.
- Proficiency with Azure Purview, Microsoft 365, SharePoint, and DLP implementations.
- Strong communication skills with demonstrated ability to influence stakeholders at all levels.
Preferred Skills
- Experience in utilities or regulated industries.
- Knowledge of data protection in data lakes or Azure Synapse.
- Background in LLM security or responsible AI design patterns.
- SANS/GIAC, CISSP, or Azure Security certification.
- Experience with legacy data cleanup and DSPM platforms.
- In-depth understanding of cryptographic standards and quantum-ready cryptography.
- Passion for AI safety, responsible data stewardship, and future-proofing sensitive workloads.
Benefits
- Opportunity to lead transformative data security initiatives in a forward-thinking, high-impact environment.
- Collaborate with top-tier experts and executive leadership on innovative projects.
- Expand your skills across the intersection of AI, data security, and cloud technologies.
- Great potential for contract extension or transition to full-time based on performance.
How to Apply
Ready to shape the future of data security and AI? Submit your resume and a brief cover letter outlining your experience in data protection and AI/ML security. Qualified candidates will be contacted promptly for interviews.
About Indotronix
Sourced by ZipRecruiter
In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.
Industry
Recruiting and staffing services
Company size
1,001 - 5,000 Employees
Headquarters location
Rochester, NY, US