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Virtual Ai Software Engineer Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Software Engineer

Mclean, VA

  • Medical

  • Life

  • Retirement

  • PTO

Software Engineer The Opportunity: As an AI software engineer, you know that good software is more ... AI) or other tools to assist with responses during interviews (whether in-person or virtual) is ...

Booz Allen Hamilton, Inc.

Software Engineer

Mclean, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Share Software Engineer The Opportunity: As an AI software engineer, you know that good software is ... AI) or other tools to assist with responses during interviews (whether in-person or virtual) is ...

Booz Allen Hamilton, Inc.

Software Engineer

Mclean, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Software Engineer The Opportunity: As an AI software engineer, you know that good software is more ... AI) or other tools to assist with responses during interviews (whether in-person or virtual) is ...

Booz Allen Hamilton, Inc.

Software Engineer

Mclean, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Software Engineer The Opportunity: As an AI software engineer, you know that good software is more ... AI) or other tools to assist with responses during interviews (whether in-person or virtual) is ...

Booz Allen Hamilton, Inc.

Software Engineer

Mclean, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Share Software Engineer The Opportunity: As an AI software engineer, you know that good software is ... AI) or other tools to assist with responses during interviews (whether in-person or virtual) is ...

Booz Allen Hamilton

Software Engineer

Mclean, VA

  • Medical

  • Life

  • Retirement

  • PTO

Software Engineer The Opportunity: As an AI software engineer, you know that good software is more ... AI) or other tools to assist with responses during interviews (whether in-person or virtual) is ...

Riverside Research

Mid-Level Software Engineer

Fairfax, VA · On-site

$90K - $180K/yr

Position Overview As a Mid-Level Machine Learning/AI Software Engineer, you will be responsible for developing, implementing, and applying machine learning/AI algorithms and solutions to address ...

New

Jobtailor

AI-Native Software Engineer

Arlington, VA · On-site

$140 - $190/hr

Demonstrate and share AI-enabled engineering techniques that improve team productivity and software quality * Help define and evolve AI-augmented engineering standards, patterns, and best practices

New

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Infographic showing various Virtual Ai Software Engineer job openings in Virginia as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Security Software Engineer

Software Engineering Institute | Carnegie Mellon University

Arlington, VA • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking an AI Security Software Engineer to advance cybersecurity research and the resilience of software systems. The role involves developing machine learning-based prototypes and collaborating with researchers to address AI security challenges.
Responsibilities:
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Qualifications:
Required:
• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures
• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%)
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Preferred:
• Experience applying statistical modeling and advanced data analytics techniques
• Background in developing AI/ML solutions in real-world settings
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Experience and knowledge in cybersecurity best practices
• Demonstrated ability to quickly learn and adapt to new technologies and domains
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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