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Ai Platform Engineer Jobs in Virginia (NOW HIRING)

Glint Tech Solutions

AI Platform Engineer

Reston, VA

AI Platform Engineer Company Overview Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United ...

SES

Sr. AI Platform Engineer

Centreville, VA · On-site

$103K - $142K/yr

Systems Engineering Services is seeking a Sr. AI Platform Engineer based in the DMV Area. About the Role We are looking for a Senior AI Platform Engineer to build the foundational infrastructure ...

Forterra

AI Platform Engineer

Arlington, VA · On-site

... platform or enablement function: adoption metrics, contributor onboarding, deprecation * Background in systems engineering, safety engineering, or verification & validation * Experience with AI ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

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 ...

Fantom

Platform Engineer

Chantilly, VA

We are seeking a Platform Engineer to design, implement, and maintain the infrastructure that ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Fantom Corporation

Platform Engineer

Chantilly, VA · On-site

We are seeking a Platform Engineer to design, implement, and maintain the infrastructure that ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Socket.dev

Platform Engineer, Public Sector

Mclean, VA · On-site

Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... Our engineering team is centralized: we build reusable solutions once and replicate them across the ...

Apex Systems

Federal Platform Engineer

Arlington, VA · On-site

In this role, you bridge the gap between cloud-native engineering and the unique demands of AI/LLM ... or platform engineering experience, with a focus on cloud-native infrastructure. 3 years of ...

BOOZ, ALLEN & HAMILTON, INC.

Platform Engineer

Mclean, VA · On-site

$77K - $176K/yr

Platform Engineer The Opportunity: As a Platform Engineer, you'll help build and operate the ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton, Inc.

Platform Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

As a Platform Engineer, you'll help build and operate the foundational infrastructure behind an ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton Inc.

Platform Engineer

Mclean, VA

$77K - $176K/yr

Platform Engineer The Opportunity: As a Platform Engineer, you'll help build and operate the ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 11, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Virginia?

For Ai Platform Engineer jobs in Virginia, the most frequently searched job titles are:

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:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Virginia as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $131,885 per year, or $63.4 per hour.

AI Platform Engineer

Reston, VA

Glint Tech Solutions
See more jobs at Glint Tech Solutionsexternal

Full-time

Re-posted 11 days ago

Job description

AI Platform Engineer

Company Overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States.

Project Description

Our client, a leading healthcare payor, is seeking an AI Platform Engineer to translate AI reference architectures into secure, scalable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce. The role operationalizes platform standards, automates governance guardrails, and ensures all AI workloads meet enterprise security, compliance, and HIPAA requirements.

Key Responsibilities

  • Convert AI reference architectures into deployable cloud configurations using Terraform, Bicep, ARM, and CI/CD pipelines
  • Configure and operate Azure OpenAI, AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce, Anthropic, and OpenAI services
  • Build reusable platform components, landing zones, and environment promotion patterns (dev test prod)
  • Translate AI governance policies into technical controls — policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions
  • Implement HIPAA, CMS, and Zero Data Retention compliance controls including audit logging and prompt/response logging
  • Deliver paved-path templates, starter kits, and self-service capabilities for development teams
  • Monitor platform health, capacity, and cost; support incident response and continuous improvement
  • Maintain platform documentation, runbooks, and architectural decision records

Mandatory Skills

  • 5+ years of cloud platform engineering with 2+ years on Azure or comparable hyperscaler
  • Hands-on experience with Terraform/Bicep, Azure DevOps, GitHub Actions, and policy-as-code frameworks
  • Working knowledge of Azure OpenAI, AI Foundry, vector databases, and model gateways
  • Experience implementing technical controls for HIPAA, PCI, or similarly regulated environments
  • Strong understanding of identity, networking, encryption, and secrets management in cloud
  • Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered

Nice-to-Have Skills

  • Hands-on experience across Azure, MuleSoft, and Salesforce Agentforce
  • Familiarity with NIST AI RMF, ISO 42001, RAG architectures, or agentic AI patterns
  • Healthcare payor or regulated industry background
  • Azure (AZ-305, AZ-400, AI-102), MuleSoft, or Salesforce Agentforce certifications

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