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Ai Engineer Jobs in Reston, VA (NOW HIRING)

AI Engineer Position Responsibilities 2-4 DAYS ON SITE AI Engineer 1. Background and Context The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence ...

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

Developer Premium II - AI Engineer Location: Washington, DC Duration: 7 Months with long term extension Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated ...

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

The AI Engineer will work as part of an Agile delivery team, collaborating closely with data scientists, cloud engineers, and system architects to design, develop, and operationalize AI-driven data ...

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

Everforth ECS is seeking an AI Engineer to work in our Fairfax, VA office and Springfield, VA customer site to support the development of the next-generation Artificial Intelligence/Machine Learning ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

As an AI engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of critical solutions by ...

Plateau GRP is seeking a skilled AI Engineer to support a large-scale data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The ideal candidate will apply artificial ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

As an AI engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of critical solutions by ...

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

AI Engineer

Washington, DC · On-site

$110K - $115K/yr

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

AI Engineer The Opportunity: As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

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Ai Engineer information

See Reston, VA salary details

$40.6K

$105.9K

$143.1K

How much do ai engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai engineer in Reston, VA is $105,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $121,200.00 per year, depending on experience, location, and employer.

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 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:
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What cities near Reston, VA are hiring for Ai Engineer jobs? Cities near Reston, VA with the most Ai Engineer job openings:

AI Engineer

Guru Schools

Washington, DC • On-site

Full-time

Posted 16 days ago


Job description

Overview:
AI Engineer Position Responsibilities
2-4 DAYS ON SITE
AI Engineer
1. Background and Context
The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists in the World Bank Group. This role is central to the VPU's digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
2. Qualifications and Experience
Education
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. Experience
  • Minimum 3 years of experience in AI/ML model development and deployment.
  • Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
  • Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions. Technical Skills

  • Skilled in - Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data)
  • Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
  • Expertise deep learning, computer vision, and large language models.
  • Familiarity with REST APIs, NoSQL, and RDBMS.
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Strategic thinking and innovation mindset. 3. Certifications (Preferred)
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Machine Learning Engineer
  • SAFe Agile Software Engineer (ASE)
  • Certification in AI Ethics 4. Objectives of the Assignment
  • Develop and implement AI models and algorithms tailored to business needs.
  • Integrate AI solutions into existing systems and workflows.
  • Ensure ethical compliance and data privacy in all AI initiatives.
  • Support user adoption through training and documentation.
  • Support existing AI solutions by refinement, troubleshooting, and reconfiguration 5. Scope of Work and Responsibilities

AI Solution Development
  • Collaborate with cross-functional teams to identify AI opportunities.
  • Train, validate, and optimize machine learning models.
  • Translate business requirements to technical specifications. AI Solution Implementation
  • Develop code, deploy AI models and into production environments, and conduct ongoing model training
  • Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve accuracy
  • Ensure compliance with ethical standards and data governance policies. User Training and Adoption
  • Conduct training sessions for stakeholders on AI tools.
  • Develop user guides and technical documentation. Data Analysis and Research
  • Collect, preprocess, and engineer large datasets for machine learning and AI applications.
  • Recommend and Implement Data Cleaning and Preparation
  • Analyze and use structured and unstructured data (including geospatial data) to extract features and actionable insights.
  • Monitor data quality, detect bias, and manage model/data drift in production environments.
  • Research emerging AI technologies and recommend improvements. Governance, Strategy, Support, and Maintenance
  • Advise WBG Staff on AI strategy and policy implications
  • Contribute to the team's AI roadmap and innovation agenda.
  • Provide continuous support and contribute towards maintenance and future enhancements. 4. Deliverables[MP1]
  • Work on Proof of Concepts to study the technical feasibility of AI Use Cases

[MP1]Develop, train, and deploy AI models tailored to business needs.
Skills:
AI/ML,LLMs,RAG,NLP