1

Contract Ai Infrastructure Engineer Jobs in Virginia

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

AI Infrastructure Engineer Top Secret or TS/SCI is required to start $200K to $250K Chantilly, VA What You'll Do * Deploy and optimize self-hosted LLM inference servers (vLLM, Ollama, and similar)

Residency All applicants must currently reside in the United States Overview BigBear.ai is hiring Cloud Infrastructure Engineers to build and maintain the underlying government cloud infrastructure ...

Cloud Infrastructure Engineer

Mclean, VA · On-site

$57.25 - $76.50/hr

Residency All applicants must currently reside in the United States Overview BigBear.ai is hiring Cloud Infrastructure Engineers to build and maintain the underlying government cloud infrastructure ...

Infrastructure Engineer

Sterling, VA · On-site

$122K - $253K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position is CONTINGENT upon contract award** The Infrastructure Engineer (IE) collaboratively works closely with the Sponsor, leadership, P&O Teams, and Mission Partners to identify, understand ...

Cloud Infrastructure Engineer

Mclean, VA · Remote

$142K - $190K/yr

Overview BigBear.ai is hiring Cloud Infrastructure Engineers to build and maintain the underlying government cloud infrastructure that supports the program's polyglot database stack. Working ...

Overview Network Infrastructure Engineer (VDEPT) Bowhead is seeking a Network Infrastructure ... US Citizenship is a requirement for this contract. Please note that the salary information is a ...

Cloud Infrastructure Engineer

Arlington, VA · On-site

$123K - $162K/yr

... an AI-enabled logistics command and control platform. The role involves designing and operating ... Required : • 5+ years of experience in DevOps, SRE, infrastructure or software engineering roles ...

Overview Network Infrastructure Engineer (VDEPT) Bowhead is seeking a Network Infrastructure ... this contract. Please note that the salary information is a general guideline only. Bowhead ...

Leidos is seeking an AI & Security Infrastructure Integration Engineer to join our team in Alexandria, VA. This is a hybrid position allowing partial telework, but the majority of the time is spent ...

Infrastructure Engineer

Sterling, VA · On-site

$106K - $139K/yr

  • Medical

  • Retirement

  • PTO

Northstrat is seeking a highly skilled Infrastructure Engineer to orchestrate and execute over the ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

next page

Showing results 1-20

Contract Ai Infrastructure Engineer information

What is the difference between Contract Ai Infrastructure Engineer vs Contract Cloud Infrastructure Engineer?

AspectContract Ai Infrastructure EngineerContract Cloud Infrastructure Engineer
Required CredentialsRelevant certifications in AI, cloud platforms, and infrastructureCertifications in cloud platforms, networking, and systems administration
Work EnvironmentAI development labs, data centers, cloud environmentsCloud service providers, enterprise data centers, remote cloud setups
Employer & Industry UsageTech companies, AI startups, research institutionsIT firms, cloud service providers, large enterprises
Common Search & Comparison IntentUnderstanding roles in AI infrastructure projectsComparing cloud infrastructure roles and responsibilities

The Contract Ai Infrastructure Engineer focuses on building and maintaining AI-specific infrastructure, including GPU clusters and AI frameworks, often within AI-focused companies. In contrast, the Contract Cloud Infrastructure Engineer specializes in managing cloud environments, networks, and systems for various enterprise needs. Both roles require cloud and infrastructure knowledge but differ in their focus areas and industry applications.

How much do contract AI infrastructure engineers make?

Contract AI infrastructure engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and project scope. Rates can also be billed hourly, often ranging from $50 to $200 per hour, especially for specialized skills in cloud platforms, hardware, and AI frameworks.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Virginia?

The most popular types of Ai Infrastructure Engineer jobs in Virginia are:

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

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

What job categories do people searching Contract Ai Infrastructure Engineer jobs in Virginia look for?

The top searched job categories for Contract Ai Infrastructure Engineer jobs in Virginia are:

What cities in Virginia are hiring for Contract Ai Infrastructure Engineer jobs?

Cities in Virginia with the most Contract Ai Infrastructure Engineer job openings:

AI Infrastructure Engineer

Bright Vision Technologies

Reston, VA • Remote

$150K/yr

Full-time

Posted 7 days ago


Job description

AI Infrastructure Engineer- Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
Job Title: AI Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated an impact on production of AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
  • Bachelor\'s or master\'s degree in computer science, Computer Engineering, or related field.
  • Six or more years of experience in performance engineering, ML systems, or HPC.
  • Strong proficiency in Python and C++.
  • Hands-on experience optimizing deep learning workloads on modern GPUs.
  • Deep understanding of distributed training and inference techniques.
  • Experience with profiling tools across CPU, GPU, and distributed systems.
  • Familiarity with model compression techniques and their accuracy implications.
  • Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.
  • Excellent measurement, debugging, and analytical reasoning skills.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience optimizing LLM inference at production scale.
  • Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.
  • Familiarity with custom kernel authoring in Triton or CUTLASS.
  • Experience with FinOps for AI workloads.
  • Publications or talks on AI systems performance.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.