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Edge Ai Jobs in Virginia (NOW HIRING)

Cymertek Corporation is seeking a passionate and innovative AI/ML Engineer to join their team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role, you will ...

Cymertek Corporation is seeking a passionate and innovative AI/ML Engineer to join their team and drive cutting-edge solutions in artificial intelligence and machine learning. The role involves ...

Gen AI Architect

Mclean, VA · On-site

$63.75 - $84/hr

Alpha Consulting Corp. is seeking a Gen AI Architect to define enterprise AI strategy and lead architecture for cutting-edge AI systems. This role requires expertise in large language models and ...

Gen AI Architect

Mclean, VA · On-site

$63.75 - $84/hr

C. is seeking a high-impact GenAI Architect to define enterprise AI strategy and lead architecture for cutting-edge AI systems. This role involves working on LLM-based solutions in a fully onsite ...

As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.

Lead the design and implementation of cutting-edge AI systems using large language models to solve complex business problems. * Collaborate with ETS and Business partners to build and drive AI ...

AI Data Systems Engineer

Quantico, VA · On-site

$123K - $148K/yr

As an AI Data Systems Engineer with JCTM you will support the Marine Corps Warfighting Lab by ... Storage and Edge Data Strategy: Evaluate data storage strategies across cloud, on-premise, and ...

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Stay current with cutting-edge AI/ML and data analytics research and recommend practical applications to mission use cases. * Mentor junior staff and contribute to corporate AI strategy, including ...

Lead AI/ML Engineer

Ashburn, VA · On-site

$104K - $138K/yr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

AI/ML Engineer, Lead

Ashburn, VA

$104K - $138K/yr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

AI/ML Engineer, Lead

Ashburn, VA · On-site

$129 - $292/hr

Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

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Edge Ai information

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.

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

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

What cities in Virginia are hiring for Edge Ai jobs?

Cities in Virginia with the most Edge Ai job openings:

Infographic showing various Edge Ai job openings in Virginia as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.

Data Science, AI & Analytics Lead with Security Clearance

Forward Edge AI, Inc

Fort Belvoir, VA • On-site

Other

Re-posted 9 days ago


Job description

Data Science, AI & Analytics Lead Location: Fort Belvoir, VA
Work Arrangement: Hybrid (Must reside within 50 miles of Fort Belvoir, VA)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time Position Overview Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise. The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights. Work Location Requirement This is a hybrid position. Candidates must reside within 50 miles of Fort Belvoir, VA and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access. Key Responsibilities * Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms * Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making * Oversee enterprise data integration, ETL processes, API development, and data engineering activities * Establish and maintain data governance frameworks, metadata standards, and data quality controls * Identify authoritative data sources and ensure compliance with Army and DoD data strategies * Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives * Brief senior military and civilian leadership on analytical findings, recommendations, and program performance * Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions * Support Agile, DevSecOps, and modern data platform practices * Provide technical leadership and mentorship to analytics and data teams Required Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field * Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines * Experience developing predictive models, machine learning solutions, and advanced analytics products * Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms * Experience with data integration, ETL development, and enterprise data management * Strong understanding of data governance, data quality, metadata management, and data stewardship * Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments * Active Secret Security Clearance * U.S. Citizenship required * Ability to communicate complex technical concepts to executive and non-technical audiences Preferred Qualifications * Experience supporting Army, DoD, or federal data and analytics programs * Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms * Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications * Experience leading cross-functional technical teams * Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders Why Forward Edge-AI At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.