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Remote Generative Ai Jobs in Virginia (NOW HIRING)

ManTech

Senior AI/ML Engineer

Arlington, VA · Remote

$128K - $214K/yr

Create reusable components and libraries to accelerate AI/ML development and use of Generative AI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Genworth Financial

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... and generative AI use cases. * Apply modern ML techniques, experimentation frameworks, and ...

Gnw

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... and generative AI use cases. * Apply modern ML techniques, experimentation frameworks, and ...

ManTech

AI/ML Engineer Specialist

Arlington, VA · On-site +1

$208K - $381K/yr

Create reusable components and libraries to accelerate AI/ML development and use of Generative AI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Maximus

Senior Director - Cyber Security & Innovation

VA · On-site +1

$111K - $150K/yr

... applying Generative AI to cybersecurity or compliance challenges. - Strong background in ... Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

QBE Global LLC

HR Generalist - Senior

Haymarket, VA · On-site +1

$63K - $82K/yr

... generative AI for HR content), with willingness to explore, use, and recommend these tools day-to-day * Some exposure to or interest in global/international HR considerations (remote or cross-border ...

New

Loka Inc

Associate Sales Lead

Arlington, VA · On-site +1

As an inaugural AWS Generative AI Partner, we offer a unique platform to leverage your expertise ... Remote and flexible (must be within one hour of Seattle, New York or Arlington AWS hubs) * 401(k) ...

Loka, Inc

Associate Sales Lead

Arlington, VA · On-site +1

As an inaugural AWS Generative AI Partner, we offer a unique platform to leverage your expertise ... Remote and flexible (must be within one hour of Seattle, New York or Arlington AWS hubs) * 401(k) ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Norfolk, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243798 Location: Norfolk,VA,US Share job via: Share AI/ML Engineer ... Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph

USAA

VP, Orchestration and Modernization

Chesapeake, VA · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Identify and prioritize opportunities to leverage AI, Generative AI, machine learning, predictive ...

ManTech

AL/ML Engineer

Arlington, VA · Remote

$104K - $172K/yr

Create reusable components and libraries to accelerate AI/ML development and use of Generative AI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

USAA

VP, Orchestration and Modernization

Chesapeake, VA · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Identify and prioritize opportunities to leverage AI, Generative AI, machine learning, predictive ...

RevStar

Account Executive

Arlington, VA · On-site +1

Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

RevStar

Account Executive

Arlington, VA · Remote

Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ... Remote-First Working Environment - Collaborate from anywhere while staying connected with our ...

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Remote Generative Ai information

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 Virginia? The most popular types of Generative Ai jobs in Virginia are:
What are popular job titles related to Remote Generative Ai jobs in Virginia? For Remote Generative Ai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Virginia look for? The top searched job categories for Remote Generative Ai jobs in Virginia are:
What cities in Virginia are hiring for Remote Generative Ai jobs? Cities in Virginia with the most Remote Generative Ai job openings:
Remote Generative Ai jobs near you
Senior AI/ML Engineer

Senior AI/ML Engineer

ManTech

Arlington, VA • Remote

$128K - $214K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 16 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies

Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career and customer-oriented Senior AI/ML Engineer to join our team. Onsite at the Pentagon.
Summary:
Join a dynamic and diverse team at an industry-leading organization where our employees are our top priority. At ManTech, you'll contribute to protecting national security while working on cutting-edge AI/ML projects. You'll have the opportunity to push the boundaries of AI/ML innovation in support of our government clients. ManTech also provides excellent opportunities for career growth and advancement. We are currently seeking a motivated, career-oriented, and customer-focused Senior AI/ML Engineer to join our team full-time.
Responsibilities include but are not limited to:

  • Evaluates performance results and recommends major changes affecting short-term project growth and success.
  • Functions as a technical expert across multiple project assignments.
  • Design, build, and maintain AI/ML lifecycle core services and products
  • Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment
  • Develop and implement infrastructure for training, validating, and deploying machine learning models
  • Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities
  • Build model serving platforms for efficient inference
  • Implement automated machine learning pipelines and MLOps practices for continuous integration and deployment (CI/CD) of models
  • Optimize AI/ML algorithms for performance and scalability
  • Troubleshoot complex issues in AI/ML systems

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline
  • 8+ years of experience
  • 3+ years of software engineering experience with deep proficiency in Python
  • Proven experience operationalizing Machine Learning models in production environments
  • Hands-on experience with model evaluation, versioning, and CI/CD integration
  • Strong API development skills
  • Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow.
  • Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime.
  • Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and DevOps practices including Terraform or Helm.
     

Preferred Qualifications:

  • 10+ years of experience
  • Hands-on experience with Kubernetes and deploying containerized ML services
  • Experience working with feature stores
  • Experience utilizing Databricks or similar cloud-native ML tooling
  • Experience working with feature stores and distributed data frameworks (e.g., Spark).
  • Proficiency in model interpretation tools like SHAP or LIME.
  • Foundational understanding of linear algebra, calculus, and numerical computation to support algorithm optimization.

Clearance Requirements:

  • US Citizenship with active DoD Secret Clearance

Physical Requirements:

  • Must be able to remain in a stationary position 50%
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations
  • Must be able to exchange accurate information in these situations

The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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