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Ai Applications Engineer Jobs in Reston, VA (NOW HIRING)

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Position Summary The Data & AI Engineer is an experienced, hands-on engineer who turns Carlyle ... Support discovery and consumption tooling so that analysts, applications, and agents can find and ...

Carlyle

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

Position SummaryThe Data & AI Engineer is an experienced, hands-on engineer who turns Carlyle ... Support discovery and consumption tooling so that analysts, applications, and agents can find and ...

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

You will focus on building generative AI applications with embedded artifcial intelligence or ... UiPath RPA Developer Certification and UiPath AI Center Experience * Knowledge of chatbot ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

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All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Reston, VA

Ai Applications Engineer information

See Reston, VA salary details

$52.5K

$115.2K

$158.1K

How much do ai applications engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai applications engineer in Reston, VA is $115,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $140,400.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Reston, VA?

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Cities near Reston, VA with the most Ai Applications Engineer job openings:

Ai Applications Engineer jobs near you

AI Platform Engineer Oracle Cloud Infrastructure (OCI)

Arlington, VA • On-site

Alldus International Consulting Limited
See more jobs at Alldus International Consulting Limitedexternal

$123K - $162K/yr

Other

Posted 7 days ago

Job description

AI Platform Engineer Oracle Cloud Infrastructure (OCI)

Location: Arlington, VA Onsite Clearance: Active Secret Clearance Citizenship: Contract: Contract / Contract-to-Hire
Duration: Long-Term
Experience: 5+ Years Cloud Infrastructure / DevSecOps

About the Role

We are seeking an experienced AI Platform Engineer to design, secure, and maintain enterprise AI application environments within Oracle Cloud Infrastructure (OCI).

This role will focus on building secure, scalable, and highly available cloud environments for AI applications while ensuring compliance with Federal and DoD security requirements. The ideal candidate will have strong hands-on experience across OCI infrastructure, networking, IAM, containers, Kubernetes, Infrastructure as Code, and DevSecOps.

Key Responsibilities

  • Design, deploy, secure, and maintain AI application environments within OCI.
  • Architect and manage OCI networking, compute, storage, and security services.
  • Implement and maintain Identity and Access Management (IAM), policies, roles, and security controls.
  • Deploy and manage containerized AI applications using Docker and Oracle Kubernetes Engine (OKE).
  • Develop and maintain Infrastructure as Code using Terraform.
  • Build and maintain secure, automated CI/CD and DevSecOps pipelines.
  • Implement cloud security controls aligned with Federal and DoD requirements.
  • Support security hardening, vulnerability management, logging, monitoring, and incident response.
  • Work closely with application developers, security teams, and architects to ensure AI platforms are secure and production-ready.
  • Automate infrastructure provisioning, configuration, and deployment processes.
  • Troubleshoot complex cloud infrastructure, networking, container, and deployment issues.
  • Contribute to cloud architecture standards, documentation, and modernization initiatives.

Required Experience

  • 5+ years of cloud infrastructure and/or DevSecOps experience.
  • Strong hands-on experience with Oracle Cloud Infrastructure (OCI).
  • Experience with OCI networking, IAM, compute, storage, and security services.
  • Strong experience with Docker and Kubernetes, preferably Oracle Kubernetes Engine (OKE).
  • Hands-on experience with Terraform / Infrastructure as Code (IaC).
  • Experience developing or supporting CI/CD and DevSecOps pipelines.
  • Strong understanding of cloud security, networking, identity, and access management.
  • Experience securing cloud environments supporting AI/ML applications.
  • Knowledge of Federal and/or DoD cybersecurity and compliance requirements.
  • Strong troubleshooting and problem-solving skills.
  • Active Secret Clearance required.
  • U.S. Citizenship required.
  • Must be able to work onsite in Arlington, VA.

Nice to Have

  • OCI certifications.
  • Experience supporting Federal or DoD cloud environments.
  • Knowledge of FedRAMP, NIST, RMF, DISA STIGs, or DoD security requirements.
  • Experience with AI/ML platforms and infrastructure.
  • Experience with Git, Jenkins, GitLab, GitHub Actions, or similar DevSecOps tools.
  • Experience with cloud monitoring, SIEM, vulnerability scanning, and security automation.
  • Experience implementing highly available and scalable production AI platforms.

Why This Role?

This is an excellent opportunity for an experienced AI Platform Engineer to work on modern cloud and AI infrastructure within a secure Federal/DoD environment.

You will play a key role in building and maintaining secure OCI-based AI platforms, combining cloud engineering, DevSecOps, Kubernetes, Terraform, and cybersecurity to support next-generation AI applications.

Interested? Apply now or reach out to discuss the opportunity in more detail.

Apply