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Ai Engineer Developer Jobs in Virginia (NOW HIRING)

AI Engineer

VA ยท On-site

$106K - $128K/yr

TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral ... Experience with automating AI model training, deployment pipelines, and optimization processes

... DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in machine learning, GenAI, and AI agents. * Experience working in a Fortune 100 regulated company, startup ...

... DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in machine learning, GenAI, and AI agents. * Experience working in a Fortune 100 regulated company, startup ...

... DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in machine learning, GenAI, and AI agents. * Experience working in a Fortune 100 regulated company, startup ...

The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment ...

Hands-on experience with DevOps practices and CI/CD pipelines. * Familiarity with distributed ... Knowledge of AI operations and MLOps practices for deploying and maintaining machine learning ...

AI Engineer

Reston, VA ยท On-site

Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube, environment configuration, and deployment automation. Help develop GenAI-enabled features such as AI ...

... DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in machine learning, GenAI, and AI agents. * Experience working in a Fortune 100 regulated company, startup ...

... DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in machine learning, GenAI, and AI agents. * Experience working in a Fortune 100 regulated company, startup ...

AI Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...

The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across ...

AI Engineer

Arlington, VA ยท On-site

$100K - $203K/yr

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

AI Engineer

Arlington, VA ยท On-site

$116K - $243K/yr

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

AI Engineer

Arlington, VA ยท On-site +1

$100K - $110K/yr

Experience with Git and modern DevOps tools.Strong problem-solving, analytical reasoning, and ... AI Engineering, Software DevelopmentWorkplace Location / Type: Hybrid (DMV - Washington D.C. Metro ...

AI Engineer

Reston, VA ยท On-site

Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube, environment configuration, and deployment automation. Help develop GenAI-enabled features such as AI ...

AI Engineer

Arlington, VA ยท On-site +1

$77K - $176K/yr

Share AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on ...

AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...

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Ai Engineer Developer information

What is a 900000 AI job?

A $900,000 AI engineer developer role typically refers to a high-level position with a total compensation package that includes salary, bonuses, and stock options. Such roles are usually found in leading tech companies or startups and require advanced skills in machine learning, deep learning, and programming languages like Python or TensorFlow. These positions often demand extensive experience and a strong track record of AI project development.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

What engineer makes 500,000 a year?

Senior AI engineers or machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and maintain AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists are also expected to remain in demand due to the need for data management and protecting AI infrastructure. These roles involve complex problem-solving and adaptability that AI is less likely to fully automate soon.
What are popular job titles related to Ai Engineer Developer jobs in Virginia? For Ai Engineer Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Developer jobs in Virginia look for? The top searched job categories for Ai Engineer Developer jobs in Virginia are:
What cities in Virginia are hiring for Ai Engineer Developer jobs? Cities in Virginia with the most Ai Engineer Developer job openings:
AI Engineer

$106K - $128K/yr

Full-time

Re-posted 13 days ago


Job description

JOB SUMMARY: Leveraging a strong background in machine learning, artificial intelligence, and data science, the AI engineer will design, develop, and deploy AI solutions to address business challenges and optimize operations. Work closely with cross-functional teams to integrate AI models into products and services, helping to drive business transformation and innovation.
ESSENTIAL FUNCTIONS
60% of job: Development
  • Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation.
  • Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms.

  • Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure.
  • Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders.
  • Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes.

20% of job: Continuous Improvement
  • Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements.
  • Implement and maintain machine learning pipelines, from data preprocessing to model deployment.

  • Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards.

20% of job: Leadership and Relationships
  • Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions.
  • Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies.

MINIMUM REQUIREMENTS
Education: Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field
Preferred Education: Master's Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field
Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles
Preferred Certifications:
  • Google Cloud Professional Data Engineer
  • Microsoft Certified Azure AI Engineer Associate
  • TensorFlow Developer Certificate
  • AWS Certified Machine Learning - Specialty

Behavioral Competencies:
  • Ability to analyze complex technical issues and create effective solutions
  • Ability to work cross-functionally with engineers, data scientists, and product teams
  • Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders
  • Open to new approaches and rapidly changing environments

Technical Competencies:
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • Strong background in programming languages like Python, Java, or C++
  • Experience with big data tools and technologies (e.g., Hadoop, Spark)
  • Experience with automating AI model training, deployment pipelines, and optimization processes
  • Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP
  • Experience in data preprocessing, feature extraction, and transforming raw data into usable formats
  • Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud
  • Proficient in software development practices, version control (Git), and testing frameworks
  • Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms

ENVIRONMENT OR PHYSICAL WORKING CONDITIONS
General office conditions apply. Light travel required.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.