... RAG) and Large Language Models (LLMs) within a secure AWS cloud environment. Working closely with ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...
... RAG) and Large Language Models (LLMs) within a secure AWS cloud environment. Working closely with ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...
... RAG) and Large Language Models (LLMs) within a secure AWS cloud environment. Working closely with ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...
... RAG) and Large Language Models (LLMs) within a secure AWS cloud environment. Working closely with ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...
.NET Full Stack Architect (AWS) (Remote)
Fort Mill, SC · On-site +1
$102K - $195K/yr
Knowledge and experience in working on different RAG Models, MCP Models and LLM Models * Deep ... Remote Location : Fort Mill, SC What you need to have to be considered: * E2E Solution Architect ...
.NET Full Stack Architect (AWS) (Remote)
Fort Mill, SC · On-site +1
$102K - $195K/yr
Knowledge and experience in working on different RAG Models, MCP Models and LLM Models * Deep ... Remote Location : Fort Mill, SC What you need to have to be considered: * E2E Solution Architect ...
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
$139K - $168K/yr
... RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine ... LI-SS2 LI-REMOTE
Remote Rag information
What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?
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What is a Remote RAG (Retrieval-Augmented Generation) specialist?
A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.
What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?
Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 4 days ago
Job description
VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.
Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.
Responsibilities:
- Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
- Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.
- Evaluate AI technologies, services, and frameworks to support current and future project needs.
- Ensure architecture supports approved future phases without expanding the authorized MVP scope.
- Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
- Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
- Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.
- Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.
- Optimize AI architectures for scalability, operational cost, reliability, and response time.
- Collaborate with DevSecOps teams to support deployment automation and operational readiness.
- Design integration between AI services and existing enterprise healthcare applications.
- Define secure interfaces utilizing REST APIs and modern integration patterns.
- Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
- Collaborate with application development teams to integrate AI capabilities into clinician workflows.
- Promote consistent architecture patterns and engineering best practices across JLV development teams.
- Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.
- Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.
- Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.
- Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).
- Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.
- Serve as the technical leader for AI architecture across the JLV contract.
- Mentor software engineers and provide architectural guidance throughout the software development lifecycle.
- Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.
- Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
- Present technical approaches and architectural recommendations to Government leadership and stakeholders.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
- 10+ years designing enterprise software solutions.
- 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.
- Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
- Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
- Experience leading technical architecture across multidisciplinary engineering teams.
- Amazon Bedrock and AWS cloud services
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt engineering, source-grounded AI evaluation, and hallucination testing
- Vector databases, embeddings, and semantic search
- REST APIs and enterprise integration
- Cloud architecture and distributed systems
- DevSecOps and CI/CD
- Healthcare interoperability (FHIR, HL7, CCD)
Additional Qualifications:
- Strong understanding of enterprise architecture principles and cloud-native application design.
- Experience balancing AI performance, scalability, security, explainability, and operational cost.
- Excellent analytical, architectural, and problem-solving skills.
- Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.
- Ability to obtain and maintain a Government Public Trust clearance.
- Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
- Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.
- Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.
- Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
- AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.
Benefits:
- Medical, Dental, and Vision Insurance
- 401(k) with Employer Match
- Paid Time Off plus Federal Holidays
- Corporate Laptop
- Professional Development and Training Opportunities
- Remote Opportunity
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.
Employment Type: FULL_TIME
About VetsEZ
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
San Diego, CA, US
Year founded
2012