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Ai Infrastructure Engineer Jobs in Washington (NOW HIRING)

The Josef Group

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)

Bigbear.ai

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Overview BigBear.ai is seeking a S oftware Engineer to support our AI infrastructure team. In this role, you'll help build and maintain the platform that provides the foundation for the customer's AI ...

BigBear.ai

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Overview BigBear.ai is seeking a S oftware Engineer to support our AI infrastructure team. In this role, you'll help build and maintain the platform that provides the foundation for the customer's AI ...

Bitwise

Software Engineer - AI Infrastructure

Laurel, MD · On-site

$171K - $203K/yr

Software Engineer - AI Infrastructure ** An active TS//SCI clearance with polygraph is required for this role ** Hey! Bitwise is a leading provider of mission-focused intelligence solutions that ...

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All JobsAi Infrastructure Engineer JobsAi Infrastructure Engineer Jobs in Washington

Ai Infrastructure Engineer information

See Washington salary details

$52.7K

$143.9K

$206.1K

How much do ai infrastructure engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for ai infrastructure engineer in Washington is $143,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $159,700.00 per year, depending on experience, location, and employer.

How much do AI infra engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, skills in cloud platforms, and knowledge of machine learning frameworks. Senior roles or those with specialized expertise can earn over $180,000 per year.

What does a typical day look like for an AI Infrastructure Engineer?

A typical day for an AI Infrastructure Engineer often involves designing and maintaining the underlying systems that support machine learning and AI workloads, such as setting up scalable cloud environments, automating workflows with CI/CD pipelines, and troubleshooting performance bottlenecks. You might collaborate closely with data scientists and software engineers to ensure seamless integration between AI models and production infrastructure. Daily activities can include writing and reviewing infrastructure-as-code, monitoring system health, and responding to incidents or scaling requests as needed. This role offers a dynamic mix of hands-on technical work, problem-solving, and teamwork, providing opportunities to refine your skills and contribute meaningfully to cutting-edge AI projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or AI director, often offering top-tier compensation due to expertise, experience, and the strategic importance of AI projects. These roles usually require advanced skills in machine learning, deep learning, and data infrastructure, along with significant industry experience and sometimes advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the Ai Infrastructure Engineer position, and why are they important?

To thrive as an AI Infrastructure Engineer, a strong background in computer science, cloud computing, and distributed systems is typically required, often supported by a degree in a related field. Familiarity with tools like Kubernetes, Docker, TensorFlow, and cloud platforms (AWS, Azure, or GCP), along with certifications in cloud technologies or DevOps, is highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential to excel within multidisciplinary engineering teams. These competencies ensure the reliable deployment, scaling, and optimization of AI workloads in dynamic production environments.

What does an AI Infrastructure Engineer do?

An AI Infrastructure Engineer designs, builds, and maintains the computing systems that support AI and machine learning workloads. They manage cloud services, optimize hardware and software performance, and ensure scalability for AI models. Their work involves configuring GPUs, CPUs, storage, and networking, as well as automating workflows with DevOps and MLOps tools. They collaborate with data scientists and engineers to streamline AI development and deployment. Their goal is to create reliable, efficient, and scalable AI infrastructure.

What do AI infrastructure engineers do?

AI infrastructure engineers design, build, and maintain the hardware and software systems that support artificial intelligence models and applications. They work with cloud platforms, high-performance computing, and data storage solutions, often using tools like Kubernetes and Docker, to ensure scalable and efficient AI operations.

What engineers make $500,000?

Senior AI Infrastructure Engineers, cloud architects, and machine learning engineers with extensive experience and advanced skills in AI systems, cloud platforms, and distributed computing can reach or exceed $500,000 in total compensation, especially in high-demand industries or companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of impactful projects.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Washington? The most popular types of Ai Infrastructure Engineer jobs in Washington are:
What are popular job titles related to Ai Infrastructure Engineer jobs in Washington? For Ai Infrastructure Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Ai Infrastructure Engineer jobs in Washington look for? The top searched job categories for Ai Infrastructure Engineer jobs in Washington are:
Ai Infrastructure Engineer jobs near you
Infographic showing various Ai Infrastructure Engineer job openings in Washington as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $143,915 per year, or $69.2 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Ashburn, VA • Remote

$100K - $150K/yr

Full-time

Posted 5 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.

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