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Remote Generative Ai Jobs in Reston, VA (NOW HIRING)

Interon IT Solutions

AI Product Owner

Chantilly, VA · Remote

Remote Employment Type: W2 Industry: Healthcare We are seeking an experienced AI Product Owner to ... Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning ...

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

... generative AI * Direct impact on internal efficiency, knowledge accessibility, and business operations * Small team environment with autonomy, flexibility, and ownership Work Environment: * Remote

ManTech

Data and AI Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

MANTECH seeks a Solution Engineer specialized in Generative AI and Rapid Prototyping to support our ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Cognizant

Consulting Principal, AI Architect

Washington, DC · Remote

$122K - $194K/yr

Lead the design and delivery of generative AI and agent-enabled solutions, including context ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

New

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

We are currently seeking a talented and motivated Senior AI Developer for a remote federal program ... using Generative AI, Large Language Models (LLMs), Machine Learning (ML), Natural Language ...

Mondo

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

AI Product Manager Location-Type: Remote (U.S. Based) Start Date Is: ASAP Employment Type ... Demonstrated experience launching AI or Generative AI products within a B2B SaaS environment

Relativity

Legal Data Intelligence Lead

Washington, DC · On-site +1

$134K - $202K/yr

Posting Type Remote/Hybrid Job Overview At Relativity, we build technology that helps people ... You'll draw on this expertise to help us build and evaluate our key generative AI capabilities. You ...

Relativity

Software Engineer

Washington, DC · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

... Generative AI and Natural Language Programming (NLP) to support the Federal Government on several remote assignments. Our objective is to identify qualified and interested prospects so that we are ...

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All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Reston, VA

Remote Generative Ai information

See Reston, VA salary details

$16.6K

$154.2K

$198.7K

How much do remote generative ai jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote generative ai in Reston, VA is $154,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,400.00 and $174,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Specialist, and why are they important?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

Is generative AI a good career?

A career in generative AI offers opportunities in developing and deploying AI models, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with high demand for expertise, making it a promising option for those interested in AI technology and innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such roles are rare and generally found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Remote Generative AI role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative content creators, and AI trainers or annotators. These roles involve nuanced decision-making, understanding context, and overseeing AI outputs, which are difficult to fully automate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in AI-related fields.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs typically require strong skills in machine learning, programming, and familiarity with AI tools, and often involve collaboration through online platforms. Many companies offer flexible schedules and remote work arrangements for AI specialists.

What is a Remote Generative AI job?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are the most commonly searched types of Generative Ai jobs in Reston, VA? The most popular types of Generative Ai jobs in Reston, VA are:
What are popular job titles related to Remote Generative Ai jobs in Reston, VA? For Remote Generative Ai jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Reston, VA look for? The top searched job categories for Remote Generative Ai jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Generative Ai jobs? Cities near Reston, VA with the most Remote Generative Ai job openings:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Reston, VA as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $154,215 per year, or $74.1 per hour.

Generative AI Engineer/Architect-REmote

HRC Global Services

Reston, VA • Remote

Full-time

Re-posted 26 days ago

Job description

We're looking for a Generative Al Engineer to architect and build next-generation Al products powered by large language models (LLMs), agent frameworks, and agentic pipelines. The role emphasizes building reliable, context-aware systems using Model Context Protocol (MCP) to manage and standardize model context, inputs, and tool interactions across agentic workflows.

Key responsibilities

* Design, prototype, and productionize LLM-based features and conversational agents using modern LLM APIs and frameworks.

* Implement and enforce MCP (Model,Context Protocol) patterns to structure prompts, context windows, tool calls, and metadata for consistent multi-turn and cross-tool behavior.

* Build and orchestrate agentic systems (planners, executors, tool chains) that integrate LLMs with external APis, knowledge bases, and tooling.

* Develop retrieval-augmented generation (RAG) pipelines, embeddings, and document indexing; manage vector DB integrations.

* Create evaluation pipelines and prompt engineering experiments; measure hallucination rates, factuality, latency, and

cost.

* Design and implement safety, guardrails, and monitoring: content filtering, adversarial testing, rate limits, and alerting for model failure modes.

* Optimize inference cost and latency across providers and on-prem hosts (quantized models, batching, caching).

* Build CI/CD and reproducible workflows for model versions, prompt artifacts, and MCP schema migrations; document

MCP conventions and laternal best practices.

Required qualifications

* 3+ years ML engineering or applied Al experience, with 1-2+ years working directly with LLMs and generative systems.

* Hands-on experience with LLM APls and agent frameworks (eg, LangChain, Llamaindex, Haystack, or equivalent).

* Practical experience implementing or following a Model Context Protocol (MCP) - structuring context, metadata, prompt templates, tool interfaces, and context stitching across sessions.

* Strona Pvthon engineerina skills: experience buildina production-arade microservices and APIs.