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Level Ai Jobs in Virginia (NOW HIRING)

AI Engineer Senior

Reston, VA · On-site

$127K - $168K/yr

Acts as a mentor to junior engineers Required Skills: * 3+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks * 3+ years of ...

Essential Duties and Responsibilities: - Lead executive-level AI strategy discussions with SLED leaders, including CIOs, CDO's and program executives. - Help agencies assess AI readiness and maturity ...

Senior level AI Full The Command Integration Lead (CIL) directly supports the US Government to develop joint operational and functional capabilities in the information environment. In this role, the ...

Bachelor's degree preferably in a technical field * 10+ years supporting software development projects at an enterprise level * AI/ML SME experience * Knowledge in Python, Tableau, Business ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You ...

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Level Ai information

See Virginia salary details

$10.9K

$85.9K

$112K

How much do level ai jobs pay per year?

As of Aug 17, 2026, the average yearly pay for level ai in Virginia is $85,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $106,600.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What are the key skills and qualifications needed to thrive as a Level AI engineer?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level AI jobs exist?

Yes, entry-level AI jobs are available and typically require foundational skills in programming, data analysis, and machine learning frameworks like TensorFlow or PyTorch. These roles often involve tasks such as data preprocessing, model training, and assisting with AI development under supervision, making them accessible to recent graduates or those with relevant certifications.

What are popular job titles related to Level Ai jobs in Virginia?

For Level Ai jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Level Ai jobs?

Cities in Virginia with the most Level Ai job openings:

Infographic showing various Level Ai job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $85,923 per year, or $41.3 per hour.

Full-time

Posted 12 days ago


Job description

Job Summary:
Modern Technology Solutions, Inc. (MTSI) is hiring an AI/ML Test Engineer in Springfield, VA. The role involves executing system-level AI/Machine Learning evaluation activities, performing integration testing, and supporting automated evaluation pipelines for AI/ML model testing and performance assessment.
Responsibilities:
• Execute system-level AI/Machine Learning evaluation activities within the Test & Evaluation (T&E) environment supporting mission-focused operational testing.
• Perform integration testing, data capture, drift detection, and operational validation activities across AI/ML evaluation workflows.
• Support automated and semi-automated evaluation pipelines for AI/ML model testing and performance assessment.
• Develop, maintain, and refine data annotation workflows supporting operational evaluation requirements.
• Validate operational datasets and support testing activities across multiple models, datasets, and mission scenarios.
• Conduct integration testing of AI/ML models within operationally representative environments and workflows.
• Adapt evaluation procedures and workflows to address evolving GEOINT data conditions and operational mission requirements.
• Support high-throughput and parallel model evaluation activities to maintain alignment with mission timelines and operational priorities.
• Identify and mitigate data drift, performance degradation, and workflow issues impacting evaluation reliability.
• Collaborate with Senior AI/ML Test Engineers, data scientists, software engineers, and mission stakeholders to support scalable T&E execution.
• Contribute to technical documentation, evaluation reporting, and customer briefings supporting operational decision-making.
Qualifications:
Required:
• U.S. citizenship
• TS/SCI clearance
• CI Polygraph
• 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows.
• Familiarity with automated testing pipelines, operational data validation, and model performance assessment concepts.
• Ability to support multiple evaluation activities across dynamic operational environments.
• Experience troubleshooting technical workflow or data-related issues in support of operational objectives.
• Strong analytical, organizational, and communication skills.
• Bachelor’s degree in IT or STEM related field, or additional relevant experience in lieu of a degree.
• Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.
Preferred:
• Experience supporting DoD, NGA, or Intelligence Community programs.
• Familiarity with AI/ML model evaluation, GEOINT workflows, and operational testing environments.
• Experience working in Agile, DevSecOps, or cloud-based operational environments.
• Familiarity with annotation workflows, data capture pipelines, drift detection, and automated evaluation tools.
• Experience supporting scalable AI/ML evaluation or mission-focused T&E activities.
Company:
Modern Technology Solutions, Inc. Founded in 1993, the company is headquartered in Alexandria, USA, with a team of 1001-5000 employees. The company is currently Late Stage.