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Remote Conversation Design Jobs in Virginia (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support ...

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Remote Conversation Design information

What is remote conversation design?

Remote conversation design is the process of creating, testing, and refining conversational interfaces—like chatbots or voice assistants—while working from a location outside of a traditional office. Conversation designers use tools to develop natural, user-friendly interactions that help users achieve their goals efficiently. This role often involves collaboration with developers, UX designers, and clients through virtual meetings and digital platforms. Remote conversation designers need strong communication skills, creativity, and expertise in language and user experience.

How does a remote conversation designer typically collaborate with product and engineering teams?

As a remote conversation designer, you’ll frequently partner with product managers, engineers, and UX researchers to create seamless conversational experiences. Collaboration usually involves regular video meetings, shared design tools, and asynchronous feedback cycles to ensure alignment on user flows and technical constraints. Clear documentation and proactive communication are essential for bridging the remote gap, allowing you to iterate quickly and address feedback efficiently. You may also participate in virtual workshops or design sprints to co-create solutions and refine conversational logic.

What are the key skills and qualifications needed to thrive as a Remote Conversation Designer, and why are they important?

To thrive as a Remote Conversation Designer, you need expertise in linguistics, UX writing, and user experience design, often supported by experience in designing chatbots or voice assistants. Familiarity with tools like Dialogflow, Voiceflow, or Botpress, and knowledge of prototyping and analytics platforms are typically required. Strong soft skills include empathy, creative problem-solving, and clear communication to effectively capture user intent and collaborate with cross-functional teams. These skills ensure engaging, user-friendly conversational interfaces that meet both business and user needs in a remote work setting.
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AI Data Engineer

AI Data Engineer

SAIC

Fort Belvoir, VA • On-site, Remote

$129K - $155K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Design and implement scalable data pipelines for AI and machine learning workloads.

  • Develop and maintain data architectures to ensure data quality, availability, and security.

  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 rated it services

Job description

Job ID: 2612714

Location: Fort Belvoir, VA, US

Date Posted: 2026-05-18

Category: Information Technology

Subcategory: Database Engr

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications

Required Education:

  • Bachelors degree and five (5) years or more related experience; Masters and two (2) years or more experience; PhD or JD and zero (0) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  
     

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