AI Engineer
Arlington, VA · On-site
The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment ...
AI Engineer
Arlington, VA · On-site
The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment ...
AI Engineer
Washington, DC · On-site
$141K - $236K/yr
The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern ...
AI Engineer
Washington, DC · On-site
$141K - $236K/yr
The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern ...
AI Engineer
Washington, DC · On-site +1
The AI Engineer will architect and deliver AI and data solutions that solve real mission challenges for federal agencies, from intelligent document retrieval to secure multi-cloud ML platforms. The ...
AI Engineer
Washington, DC · On-site +1
The AI Engineer will architect and deliver AI and data solutions that solve real mission challenges for federal agencies, from intelligent document retrieval to secure multi-cloud ML platforms. The ...
AI Engineer
Reston, VA · On-site
AI Engineer Location: Reston, VA Duration: Fulltime Min Experience: 7+ yrs Position Summary We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models ...
AI Engineer
Reston, VA · On-site
AI Engineer Location: Reston, VA Duration: Fulltime Min Experience: 7+ yrs Position Summary We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models ...
AI Engineer
Washington, DC · On-site +1
$160K - $180K/yr
The AI Engineer will architect and deliver AI and data solutions that solve real mission challenges for federal agencies, from intelligent document retrieval to secure multi-cloud ML platforms. The ...
Quick apply
AI Engineer
Washington, DC · On-site +1
$160K - $180K/yr
The AI Engineer will architect and deliver AI and data solutions that solve real mission challenges for federal agencies, from intelligent document retrieval to secure multi-cloud ML platforms. The ...
AI Engineer
College Park, MD · On-site
Join the forefront of technological innovation by becoming an AI Engineer within the Division of Information Technology (DIT) at the University of Maryland. From conceptual ideation to production ...
AI Engineer
College Park, MD · On-site
Join the forefront of technological innovation by becoming an AI Engineer within the Division of Information Technology (DIT) at the University of Maryland. From conceptual ideation to production ...
AI Engineer
Arlington, VA · On-site
$116K - $243K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
Arlington, VA · On-site
$116K - $243K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
Arlington, VA · On-site
$100K - $203K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
Arlington, VA · On-site
$100K - $203K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
$243K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
$243K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
Herndon, VA · On-site
We are seeking a AI Engineer to join our growing team. This role is perfect for someone who enjoys building scalable systems, experimenting with AI solutions, and collaborating across disciplines to ...
AI Engineer
Herndon, VA · On-site
We are seeking a AI Engineer to join our growing team. This role is perfect for someone who enjoys building scalable systems, experimenting with AI solutions, and collaborating across disciplines to ...
AI Engineer
Arlington, VA · On-site +1
$100K - $110K/yr
As an AI Engineer, you will leverage modern AI tools--including Claude, ChatGPT, and other advanced coding assistants--to dramatically increase software development productivity. You will develop AI ...
AI Engineer
Arlington, VA · On-site +1
$100K - $110K/yr
As an AI Engineer, you will leverage modern AI tools--including Claude, ChatGPT, and other advanced coding assistants--to dramatically increase software development productivity. You will develop AI ...
Principal AI Engineer
Arlington, VA · On-site
The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across ...
Principal AI Engineer
Arlington, VA · On-site
The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across ...
AI Engineer
Mclean, VA · On-site
R0244056 AI Engineer The Opportunity: As an AI / ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure ...
AI Engineer
Mclean, VA · On-site
R0244056 AI Engineer The Opportunity: As an AI / ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure ...
AI Engineer
$203K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
$203K/yr
The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...
AI Engineer
Arlington, VA · On-site
$77K - $176K/yr
AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...
AI Engineer
Arlington, VA · On-site
$77K - $176K/yr
AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...
AI Engineer
$77K - $176K/yr
AI Engineer The Opportunity: As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across ...
AI Engineer
$77K - $176K/yr
AI Engineer The Opportunity: As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across ...
AI Engineer
Mclean, VA · On-site
As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across mission teams. You enjoy ...
AI Engineer
Mclean, VA · On-site
As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across mission teams. You enjoy ...
Lead Applied AI Engineer II
Arlington, VA · On-site
$117K - $155K/yr
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Lead Applied AI Engineer II
Arlington, VA · On-site
$117K - $155K/yr
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AI Engineer
Reston, VA · On-site
Job Role- AI Engineer Location- Reston, VA Full-Time role Position Summary We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models are monitored ...
AI Engineer
Reston, VA · On-site
Job Role- AI Engineer Location- Reston, VA Full-Time role Position Summary We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models are monitored ...
AI Engineer
Mclean, VA · On-site
$77K - $176K/yr
AI Engineer The Opportunity: As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across ...
AI Engineer
Mclean, VA · On-site
$77K - $176K/yr
AI Engineer The Opportunity: As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across ...
Ai Engineer information
See Reston, VA salary details
$40.6K - $50K
3% of jobs
$50K - $59.3K
3% of jobs
$59.3K - $68.6K
4% of jobs
$68.6K - $78K
7% of jobs
$78K - $87.3K
6% of jobs
$88.1K is the 25th percentile. Wages below this are outliers.
$87.3K - $96.6K
6% of jobs
The median wage is $105K / yr.
$96.6K - $106K
21% of jobs
$106K - $115.3K
4% of jobs
$121.4K is the 75th percentile. Wages above this are outliers.
$115.3K - $124.6K
29% of jobs
$124.6K - $134K
2% of jobs
$134K - $143.3K
13% of jobs
$40.6K
$106.1K
$143.3K
How much do ai engineer jobs pay per year?
As of Jul 15, 2026, the average yearly pay for ai engineer in Reston, VA is $106,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $121,400.00 per year, depending on experience, location, and employer.
What engineers make $500,000?
Senior AI engineers, machine learning engineers, and data scientists with extensive experience and advanced skills in AI, deep learning, and programming can earn $500,000 or more annually, especially in high-demand industries or at large tech companies. Achieving this level often requires specialized expertise, advanced degrees, and a strong track record of impactful projects.
What are some common challenges faced by AI Engineers in their day-to-day work?
AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.
What are the key skills and qualifications needed to thrive in the Ai Engineer position, and why are they important?
To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.
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 director, or AI architect, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.
What are the jobs of an AI engineer?
An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, programming languages like Python or Java, and data processing tools, often collaborating with data scientists and software developers. Their responsibilities include designing AI systems, optimizing models, and ensuring their integration into applications or products.
What does an AI engineer do?
An AI engineer designs, develops, and implements artificial intelligence models and systems, such as machine learning algorithms and neural networks. They work with data, programming languages like Python, and tools like TensorFlow or PyTorch to create solutions that enable machines to perform tasks typically requiring human intelligence.
What does an AI Engineer do?
An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.
What are the most commonly searched types of Ai Engineer jobs in Reston, VA? The most popular types of Ai Engineer jobs in Reston, VA are:
What are popular job titles related to Ai Engineer jobs in Reston, VA? For Ai Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Ai Engineer jobs in Reston, VA look for? The top searched job categories for Ai Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Ai Engineer jobs? Cities near Reston, VA with the most Ai Engineer job openings:
Accenture Federal Services rating
8.4
Based on 19 frontline employees who took The Breakroom Quiz
50th of 451 rated business services
Job description
Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizens' lives. The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment of AI solutions for mission-critical applications.
Responsibilities:
• Design, develop, and operationalize AI and agentic AI systems for production mission environments
• Implement and optimize AI/ML production engineering workflows, including LLMOps and MLOps best practices
• Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
• Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs
• Develop and maintain Python-based AI applications, focusing on GPU inference optimization
• Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions
• Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability
• Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity
• Support enterprise AI governance, continuous monitoring, and observability for mission-critical applications
• Contribute to the delivery of scalable, secure, and reliable AI software within a modern Hub-and-Spoke architecture
• Participate in the integration of operational workflows to accelerate AI adoption and mission impact
Qualifications:
Required:
• Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Kubernetes-based AI deployments, OpenAI-compatible APIs, and Python development
• Experience in GPU inference optimization and working within NVIDIA GPU ecosystems
• US Citizen
• An active TS/SCI federal security clearance is required
Preferred:
• Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
• Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms will help you succeed in supporting the continuous evolution and governance of enterprise AI systems
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizens' lives. The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment of AI solutions for mission-critical applications.
Responsibilities:
• Design, develop, and operationalize AI and agentic AI systems for production mission environments
• Implement and optimize AI/ML production engineering workflows, including LLMOps and MLOps best practices
• Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
• Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs
• Develop and maintain Python-based AI applications, focusing on GPU inference optimization
• Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions
• Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability
• Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity
• Support enterprise AI governance, continuous monitoring, and observability for mission-critical applications
• Contribute to the delivery of scalable, secure, and reliable AI software within a modern Hub-and-Spoke architecture
• Participate in the integration of operational workflows to accelerate AI adoption and mission impact
Qualifications:
Required:
• Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Kubernetes-based AI deployments, OpenAI-compatible APIs, and Python development
• Experience in GPU inference optimization and working within NVIDIA GPU ecosystems
• US Citizen
• An active TS/SCI federal security clearance is required
Preferred:
• Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
• Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms will help you succeed in supporting the continuous evolution and governance of enterprise AI systems
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Accenture Federal Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Accenture Federal Services
Sourced by ZipRecruiter
Industry
It services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
1989