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New Grad Ai Software Engineer Jobs in Virginia (NOW HIRING)

Senior AI Software Engineer

Alexandria, VA ยท On-site

$131K - $237K/yr

The Leidos National Solutions team is seeking a Senior AI Software Engineer to lead advanced ... Demonstrates ability to adapt to new AI technologies and learn quickly Preferred Qualifications:

AI Software Engineer Lead

Herndon, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

Senior AI Software Engineer

Chantilly, VA ยท On-site

$131K - $237K/yr

The Leidos National Solutions team is seeking a Senior AI Software Engineer to lead advanced ... Demonstrates ability to adapt to new AI technologies and learn quickly Preferred Qualifications:

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Engineer Lead

Alexandria, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Engineer Lead

Falls Church, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Engineer Lead

Aldie, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Engineer Lead

Manassas, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Engineer Lead

Chantilly, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are ... Drive continuous automation across the business by identifying new opportunities and iterating on ...

AI Software Engineer Lead

Burke, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

AI Software Engineer Lead

Chantilly, VA ยท On-site

$107K - $195K/yr

... software technologies and solutions. We are looking for a motivated AI engineer to solve ... Demonstrates ability to adapt to new AI technologies and learn quickly * Plans and prioritizes work ...

Showing results 21-40

New Grad Ai Software Engineer information

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What are the key skills and qualifications needed to thrive as a New Grad AI Software Engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What does a New Grad AI Software Engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are some common challenges faced by new grad AI Software Engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.
What job categories do people searching New Grad Ai Software Engineer jobs in Virginia look for? The top searched job categories for New Grad Ai Software Engineer jobs in Virginia are:
What cities in Virginia are hiring for New Grad Ai Software Engineer jobs? Cities in Virginia with the most New Grad Ai Software Engineer job openings:
Infographic showing various New Grad Ai Software Engineer job openings in Virginia as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, 2% Temporary, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.
TS/SCI - AI Software Engineer

TS/SCI - AI Software Engineer

Bailey Information Technology Consultants

Chantilly, VA โ€ข On-site

Full-time

Posted 18 days ago


Job description

Position: AI Software Engineer
Location: Alexandria VA | Chantilly VA | St Louis MO
Clearance: TS clearance with ability to obtain SCI with CI Poly
Required Certifications: DOD 8570 Certification (Security+ or equivalent or higher)
Level: T3
Job Description:
Bailey Information Technology, LLC is recruiting for an experienced AI Engineer to lead AI solutions, work on development, collaborate with pipeline development and deployment teams. The FS2 Sea task order teams are involved in the deployment and maintenance of multiple operational cloud deployed software technologies and solutions. We are looking for a motivated AI engineer to solve challenging problems in a variety of Sea based systems to get results that surpass the outcomes achieved with new AI technologies, capabilities and features.
Responsibilities:
  • Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security.
  • Collaborates with the clients AI initiatives, providing insight into technologies, tooling and practices.
  • Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential.
  • Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI.
  • Provides broad-based experience in the systems engineering lifecycle and applies experience/knowledge to cloud initiatives relating to architectural design and development.
  • Leads team's to deploy and configure services with AI tools
Core Qualifications:
  • Requires BS degree (Computer Science, Engineering or related field) and 10+ year's of prior relevant experience OR, MS with 7+ year's of prior relevant experience; OR 7 years of additional experience in lieu of degree
  • 7+ year's experience leading, designing and implementing distributed solutions and 5+ year's experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience
  • Experience in Cloud and PaaS environments
  • Subject Matter Expertise understanding across various AI technologies,
  • Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform
  • Knowledge of SDLC and AGILE best practices
  • Windows Domain Administrator of user accounts and group policy objects and Linux administration
  • Proactive leader demonstrating a positive, willing attitude and excellent oral and written communication skills.
  • Demonstrates ability to adapt to new AI technologies and learn quickly
  • Organizational Skills: Exceptional planning and prioritizing work, follow tasks to their logical conclusion and ensure everything has been correctly satisfied to standard. Great attention to detail.
  • Communications: Excellent communication with team members, clients, customers or other stakeholders verbally and in writing. Able to present ideas in a variety of ways depending upon audience and context.
  • Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly
  • DoD 8570 Certification Compliance (IAT Level 2/3)
  • Familiar with team collaboration tools (Jira, Confluence, RocketChat)
Preferred Qualifications:
  • Understanding of SFH organization; Sea data and mission
  • Experience with NGA cloud-based architecture
  • AWS Solutions Architect, AWS Developer, Machine Learning
  • Experience with IC Cloud Architecture implementation methodologies
  • Native cloud templating services like AWS Cloud Formation
  • Experience with CI/CD Pipelines and projects