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Ai Platform Engineer Jobs in Virginia (NOW HIRING)

AI Platform Engineer Location: McLean, VA (Onsite 5 Days per Week) Employment Type: Full-Time Salary Range: $125,000 - $185,000 Clearance Required: Active TS/SCI with Counterintelligence Polygraph ...

AI Platform Engineer Location: McLean, VA (Onsite 5 Days per Week) Employment Type: Full-Time Salary Range: $125,000 - $185,000 Clearance Required: Active TS/SCI with Counterintelligence Polygraph ...

AI Platform Engineer Location: McLean, VA (Onsite 5 Days per Week) Employment Type: Full-Time Salary Range: $125,000 - $185,000 Clearance Required: Active TS/SCI with Counterintelligence Polygraph ...

Job Title: Sr. AI Platform Developer Job Location: Herndon, VA Job Type: Contract * Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable. * Machine ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$129K - $177K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$123K - $169K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$128K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA

$128K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA

$129K - $177K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$127K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$127K - $175K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Chantilly, VA ยท On-site

$130K - $178K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

AI/CNO Engineer

Dulles, VA ยท On-site

$126K - $173K/yr

AI/ML Platform Engineer Dulles, VA At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative ...

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Showing results 1-20

Ai Platform Engineer information

See Virginia salary details

$32

$63

$94

How much do ai platform engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai platform engineer in Virginia is $63.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $73.17 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What job categories do people searching Ai Platform Engineer jobs in Virginia look for? The top searched job categories for Ai Platform Engineer jobs in Virginia are:
What cities in Virginia are hiring for Ai Platform Engineer jobs? Cities in Virginia with the most Ai Platform Engineer job openings:
Infographic showing various Ai Platform Engineer job openings in Virginia as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $131,885 per year, or $63.4 per hour.

AI Platform Engineer - TS/SCI with CI Poly

PGTEK

Mclean, VA โ€ข On-site

$125K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

AI Platform Engineer

Location: McLean, VA (Onsite 5 Days per Week)
Employment Type: Full-Time
Salary Range: $125,000 - $185,000
Clearance Required: Active TS/SCI with Counterintelligence Polygraph
Certification Requirement: Current IAM Level II certification meeting DoD 8570 IAT requirements

Position Overview

We are seeking an experienced AI Platform Engineer to play a critical role in building, maintaining, securing, and optimizing the infrastructure that supports advanced Artificial Intelligence (AI) workloads. This individual will be responsible for designing and managing scalable Kubernetes environments, implementing automated deployment pipelines, and ensuring platform reliability, security, and performance.

The ideal candidate combines deep expertise in cloud-native technologies, Kubernetes administration, DevOps practices, and automation with strong problem-solving and collaboration skills. This role will work closely with engineering, operations, and security teams to deliver highly available AI platform solutions in a mission-critical environment.

Key ResponsibilitiesKubernetes & Platform Engineering
  • Design, deploy, secure, maintain, and upgrade highly available Kubernetes clusters across cloud and on-premises environments.
  • Manage Kubernetes control plane components, worker nodes, and supporting infrastructure.
  • Implement and maintain containerized workloads using Docker and Kubernetes best practices.
  • Configure and manage Kubernetes resources including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, Persistent Volumes, and Namespaces.
  • Support advanced networking configurations, including CNI plugins, network policies, service meshes, and DNS services.
Security & Compliance
  • Implement security best practices across Kubernetes environments.
  • Manage RBAC, admission controllers, vulnerability scanning, secret management, and network security controls.
  • Ensure platform compliance with government and organizational security requirements.
  • Support secure deployment practices and infrastructure hardening initiatives.
DevOps & Automation
  • Design, implement, and maintain CI/CD pipelines for containerized applications.
  • Utilize GitOps methodologies and tools to automate application deployment and platform management.
  • Develop infrastructure as code (IaC) solutions using Terraform, Pulumi, CloudFormation, or similar tools.
  • Create automation scripts and tooling using Python, Go, Bash, or related languages.
Monitoring, Performance & Reliability
  • Implement monitoring, logging, alerting, and observability solutions across platform environments.
  • Diagnose and resolve complex performance issues affecting Kubernetes clusters and applications.
  • Optimize resource utilization and platform scalability.
  • Support distributed tracing, centralized logging, and operational analytics initiatives.
  • Apply DevOps and Site Reliability Engineering (SRE) principles to improve platform resilience and operational excellence.
Collaboration & Leadership
  • Collaborate with development, operations, security, and infrastructure teams.
  • Lead technical initiatives and mentor junior engineers.
  • Drive continuous improvement efforts across platform engineering and deployment practices.
  • Communicate effectively with technical and non-technical stakeholders.

Requirements

  • Extensive experience designing, deploying, and managing Kubernetes environments (EKS, AKS, GKE, OpenShift, or self-managed clusters).
  • Advanced knowledge of Docker and containerization technologies.
  • Strong understanding of Kubernetes networking, service meshes, and cluster architecture.
  • Expertise in Kubernetes security, access controls, and secret management.
  • Experience with CI/CD platforms such as Jenkins, GitLab CI/CD, GitHub Actions, Tekton, Argo Workflows, or similar.
  • Proficiency with Infrastructure as Code tools including Terraform, Pulumi, or CloudFormation.
  • Strong scripting and automation experience using Python, Go, Bash, or similar languages.
  • Experience with GitOps tools such as Argo CD.
  • Hands-on experience with monitoring and observability platforms including Prometheus, Grafana, ELK/OpenSearch, Datadog, or Splunk.
  • Strong Linux/Unix administration background.
  • Solid understanding of networking concepts including TCP/IP, DNS, HTTP, and load balancing.
  • Expert-level Git and version control experience.
Professional Skills
  • Exceptional troubleshooting and analytical problem-solving abilities.
  • Strong verbal and written communication skills.
  • Ability to work effectively in cross-functional teams.
  • Experience mentoring engineers and leading technical efforts.
  • Strong sense of ownership and accountability.
  • Adaptability and commitment to continuous learning.
Preferred Qualifications
  • Certified Kubernetes Administrator (CKA)
  • Certified Kubernetes Application Developer (CKAD)
  • Certified Kubernetes Security Specialist (CKS)
  • AWS Certified DevOps Engineer
  • Azure DevOps Engineer Expert
  • Experience developing Kubernetes Operators and Custom Resource Definitions (CRDs)
  • Experience building Internal Developer Platforms (IDPs)
  • Familiarity with testing methodologies including unit, integration, and end-to-end testing
Travel Requirements
  • Up to 20% travel as required for on-site installations, maintenance, and troubleshooting activities at customer locations or data centers.

Benefits

Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered.ย  Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance.ย ย  An Employee Assistance Program is available at no cost to all employees.ย  PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment.

ABOUT PGTEK

PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family.

EOE, including disability/veterans