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Remote Ai Infrastructure Engineer Jobs in Washington

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Develop data science solutions based on tools and cloud computing infrastructure. * Perform other ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Develop data science solutions based on tools and cloud computing infrastructure. * Perform other ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Develop data science solutions based on tools and cloud computing infrastructure. * Perform other ...

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Remote Ai Infrastructure Engineer information

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

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 Remote Ai Infrastructure Engineer jobs in Washington?

For Remote Ai Infrastructure Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Washington look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Washington are:

What cities in Washington are hiring for Remote Ai Infrastructure Engineer jobs?

Cities in Washington with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Sr. AI Operations Engineer

Centurion Consulting Group

Washington, DC • On-site, Remote

$150K - $200K/yr

Full-time

Re-posted 3 days ago

Job description

Job Description We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities

Key Responsibilities Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities. Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities. Instrument AI systems for cybersecurity activities with observability and controllability.

Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness. Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports. Required Qualifications 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices 5+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex Familiarity with open source LLM models, such Llama, Mistral Experience in fine-tuning LLM models Knowledge of AI design patterns Bachelor's degree in Computer Science, Information Systems, or other related field is required or related work experience Preferred Qualifications Hands-on experience with DevSecOps and CI/CD practices Experience in AWS cloud architecture design and operation Experience in Terraform, Dockers Kubernetes, and/or Gitlab Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance.

Strong problem-solving and analytical skills Excellent communication and documentation skills

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