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Remote Rag Jobs in Arlington, VA (NOW HIRING)

Expression

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

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Remote Rag information

See Arlington, VA salary details

$19

$24

$27

How much do remote rag jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote rag in Arlington, VA is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $26.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG?

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 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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Remote Rag jobs near you

SENIOR DATA-INTEGRATION & AI SECURITY ARCHITECT

Zermount, Inc

Arlington, VA • Remote

$205K - $245K/yr

Full-time

Posted 24 days ago

Job description

Senior Data-Integration & AI Security Architect  Position OverviewWe are looking for a highly talented, technical, hands-on Senior Data-Integration & AI Security Architect to help accelerate our growing Professional Services business within the Government Sector. You will design and build the integration layer that moves security telemetry, evidence, and machine-readable authorization artifacts between cloud-native sources, CI/CD pipelines, enterprise security tools, and a governance, risk, and compliance (GRC) platform - and lead adversarial security testing of AI and SaaS products entering the enterprise - in support of a federal continuous Authorization to Operate (cATO) program.Duties & ResponsibilitiesStreaming & Event-Driven Integration: Design and build pipelines (Apache Flink, Spark, Kafka/MSK) that ingest, normalize, deduplicate, and fuse security telemetry from cloud-native services, CI/CD, and enterprise tools into a unified evidence model.Data Reconciliation: Architect the canonical data model reconciling two authoritative systems of record (GRC platform and agency system of record) - field mappings, identifier strategy, and precedence/conflict rules.Machine-Readable Compliance: Build OSCAL-aligned export and validation tooling for control and authorization artifacts.AI Security Testing: Lead adversarial testing - prompt injection, jailbreak, RAG/vector-DB leakage, and model or tool/agent misuse - and validate guardrails for AI and SaaS products.Security Observability: Stand up streaming detection and log normalization, correlation, and alerting to support continuous monitoring.Cloud-Native Engineering: Build and deploy on AWS (GovCloud), Kubernetes/EKS, with Terraform and CI/CD.QualificationsHigh level of attention to detail, needs minimal guidance, effective verbal and written communication.15+ years architecting enterprise data and integration platforms, including real-time streaming (Apache Flink, Spark, Kafka/MSK or equivalent) on AWS.Hands-on integration/connector and API engineering with schema mapping across heterogeneous sources (cloud, scanner, SIEM, ITSM).Demonstrated AI/LLM security testing (e.g., Promptfoo): prompt injection, jailbreak, RAG leakage, and guardrail validation.Proficiency in Python, Java, and/or Scala; Kubernetes/EKS, Terraform, and CI/CD.Working knowledge of NIST SP 800-53 and machine-readable compliance (OSCAL).Familiarity with security observability (OpenSearch/Elasticsearch, OpenTelemetry) and event-driven/agentic AI workflows a plus.EducationBachelor of Science (or higher) in computer engineering, computer science, information technology, cyber security, or a related field.Another major will be considered, provided it clearly addresses at least one of the following: cyber security engineering, systems administration, information systems security, software development security, systems engineering, information systems, or information technology. CERTIFICATIONNone required. Clearance LevelNo Clerance required, but an active Secret Clearance is preferred.Work LocationPrimary location(s) are Arlington and Alexandria VA. Remote work is authorized, but the employee may have to report to one of the primary sites occasionally or as requested by management or the client. Hours of Operation6:00 am ET – 6:00 pm ETSALARY RANGE: $205,000-$245,000+Ability to pass a minimum background investigation.