9 Results for

AI Jobs in Virginia Beach, VA

Jobs

New!

Hampton, VA6 days ago

You will work directly with Air Force personnel to identify operational challenges, build quick automation solutions, and demonstrate how AI and RPA tools can improve mission workflows. We are seeking a TS/SCI-cleared AI / RPA Solutions SME to support Air Force modernization efforts by building and demonstrating automation solutions in real-world mission environments.

Hampton, VA12 days ago

We are seeking a highly skilled AI/ML Engineer with Robotic Process Automation (RPA) expertise to design, develop, and deploy advanced automation and machine learning solutions in support of Department of Defense (DoD) missions. EDUCATIONBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or a related technical field.

New!

Virginia Beach, VA5 days ago

$170,000–$180,000 Per Year

Own the end-to-end delivery of the AI & Intelligence pillar — including Conversational AI (Copilot Studio bots, Teams integrations), Agentic AI (Google ADK applications), and GenAI Innovation (rapid prototyping, emerging capability evaluation). Define and enforce the architectural patterns used to build agentic AI applications across the pillar — including agent orchestration with Google ADK, tool and MCP server design, memory and context management, and multi-agent coordination.

Virginia Beach, VA30+ days ago

Remote

The ideal candidate will have a proven track record designing and implementing successful data and Artificial Intelligence/Machine Learning (AI/ML) solutions, is a strategic thinker with a strong technical background, has exceptional communication, problem-solving skills, with a mindset of continuous learning and curiosity leading to tangible results. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes.

Hampton, VA28 days ago

The ideal candidate will focus on classified solutions operating for the DoD SIPRNet Secret and Top Secret environments, addressing intelligence, operational planning, and mission-critical applications requiring higher levels of security and compartmentalization. At least 1 AI engineering Cert required (Broad range : e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Microsoft Azure AI Engineer, TensorFlow Developer Certificate or similar).

Norfolk, VA9 days ago

Proficiency in designing and developing RESTful APIs using FastAPI, including async APIs. Our Client, an IT Services and Consulting company, is looking for an Agentic AI Lead Engineer for their Norfolk, VA/Woodland Hills, CA/Atlanta, GA/Richmond, VA location.

Chesapeake, Virginia30+ days ago

Remote

This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems. FTI delivers mission-focused solutions to the Department of Defense/Deparmtent of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise.

Chesapeake, Virginia30+ days ago

Remote

Overview: Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

Hampton, VA30+ days ago

Run live RPA demonstrations using actual wing data, build proof-of-concept automations in 2-3 days that address unit-specific workflows, conduct hands-on Virtual Instructor-Led Training (VILT) labs, and capture use-case requirements that feed the JBLE-based prototype development queue. The ideal candidates will work on 1 of 2 training teams delivering wing-level technical instruction, live demonstrations, and proof-of-concept automation builds across Air Combat Command's CONUS and OCONUS installations.

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