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Remote Rag Jobs in Ashburn, 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 ...

ManTech

Forward Deployed Engineer

Washington, DC · On-site +1

$141K - $236K/yr

Knowledge of RAG, Hybrid RAG, MCP * Experience creating, maintaining, and communicating complex ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data ... Knowledge of prompt engineering, RAG architectures, and context or memory management. * Experience ...

Leidos

Software Engineer

Reston, VA · On-site +1

Strong knowledge of agentic frameworks, orchestration tools, RAG, vector databases, API design, and ... Flexible to work remote with the ability to commute to the corporate office as needed Must have ...

Booz Allen Hamilton, Inc.

AI Engineer

Washington, DC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0244899 Location: Washington,DC,US Share job via: Share AI ... RAG pipelines, applying traditional ML where appropriate, and using AI-assisted coding tools to ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote rag in Ashburn, VA is $21.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $23.37 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

Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States)

ICA.ai

Arlington, VA • Remote

$170K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About ICA, Inc.

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.

At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about - it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

We are looking for a Principal AWS Data Platform & ML Ops Architect to join our growing team!

ABOUT THE ROLE:

We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.

Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.

KEY RESPONSIBILITIES:

Architect and Build the Shared Platform

  • Define the target AWS architecture for shared data, document-processing, search, analytics, and AI capabilities.
  • Design the canonical data model, ingestion and processing pipelines, storage patterns, APIs, event contracts, and serving layers.
  • Build a reusable platform serving multiple products and projects with critical shared capabilities and establish repeatable implementation patterns for engineering teams.
  • Develop an incremental migration and adoption strategy for bringing existing solutions onto the shared platform.
  • Identify duplicated pipelines, services, infrastructure, and technical patterns across projects.
  • Determine which capabilities should become shared platform services and which should remain project-specific.

Define the Data and MLOps Architecture

  • Design the AWS-based path from data science deliverables to production by establishing architecture for model packaging, deployment, serving, registry, monitoring, drift detection, and retraining workflows.
  • Define onboarding standards for new data products, models, search applications, and AI-enabled services.
  • Design platform capabilities supporting search indexes, embeddings, vector retrieval, RAG, and model evaluation.

Provide Technical Design Authority

  • Lead architecture and design reviews before significant development begins.
  • Establish reference architectures, approved patterns, architecture decision records, and engineering standards.
  • Require teams to use shared platform capabilities where appropriate and evaluate justified exceptions.
  • Ensure platform designs meet performance, scalability, reliability, security, auditability, disaster-recovery, and cost requirements.
  • Provide technical leadership and mentoring across data engineering, data science, software engineering, and platform teams.
  • Partner with product and engineering leaders on a cross-project platform roadmap.

REQUIRED QUALIFICATIONS:

  • Extensive experience designing and building enterprise data platforms or AI/ML platforms on AWS.
  • Demonstrated experience creating shared platform capabilities adopted by multiple products, projects, or business units.
  • Experience consolidating separate production data systems through incremental migration and adoption.
  • Strong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch
  • Strong experience with data engineering, distributed systems, event-driven architecture, APIs, data modeling, metadata, lineage, governance, and access control.
  • Strong MLOps architecture experience, including model deployment, serving, registries, monitoring, drift detection, and retraining workflows.
  • Experience designing search, vector retrieval, embedding, or RAG data foundations.
  • Experience with infrastructure as code using AWS CDK, Terraform, or CloudFormation.
  • Experience with multi-account AWS environments, private networking, and AWS Well-Architected principles.
  • Ability and willingness to write production code and build initial critical platform components.
  • Experience influencing senior engineers and enforcing architecture decisions across teams without direct management authority.
  • Strong technical communication and decision-making skills.
  • Must be authorized to work in the United States and have lived in the US for 3 or more consecutive years.
  • Must be able and willing to obtain a Public Trust Clearance

PREFERRED QUALIFICATIONS:

  • Active AWS Certifications (Solutions Architect, Data Engineer or Machine Learning)
  • Experience with document intelligence, OCR, multimodal search, data lake or lakehouse platforms, or generative AI systems.
  • Experience with Amazon Textract, Amazon Bedrock, SageMaker, OpenSearch vector capabilities, or AWS Lake Formation.
  • Experience working with regulated, sensitive, or access-controlled data.
  • Familiarity with audit, data provenance, evidence retention, tenant isolation, and model-governance requirements.
  • Experience establishing shared platform practices in consulting, professional-services, or multi-client environments.
  • Experience with AWS Organizations, Control Tower, disaster recovery, and cloud cost optimization.

USE OF AI ASSITIVE TECHNOLOGY:

    All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification.

    BENEFITS:

    We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.

    • Health Insurance -100% employer-paid premiums - ICA covers the full cost of one of three offered medical plans
    • Dental Insurance
    • Vision insurance
    • Health Spending Account
    • Flexible Spending Account
    • Life and Disability insurance
    • 401(k) plan with company match
    • Paid Time Off (Vacation, Sick Leave and Holidays)
    • Education and Professional Development Assistance
    • Remote work from anywhere within the continental United States

    LOCATION & TELEWORK
    This is a remote position following Eastern Standard Time (EST). Candidates residing in the DMV area preferred.

    ADDITIONAL INFORMATION:

    ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.

    This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

    Employment Type: FULL_TIME

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