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Ai Engineer Jobs in Reston, VA (NOW HIRING)

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders, and product teams to build scalable AI-powered applications, Generative AI solutions, and ...

Ekcel Technologies Inc

AI engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders, and product teams to build scalable AI-powered applications, Generative AI solutions, and ...

SES

AI Engineer

Washington, DC · On-site

Systems Engineering Services is seeking an AI Engineer based in the Washington DC area for a Hybrid role, 3 days in office in downtown DC a week. Top 5 Technical Skills: * SDLC Automation ...

Beyond SOF

AI Engineer

Washington, DC · On-site +1

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

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

kgs

AI Engineer

Washington, DC

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 ...

Koniag, Inc.

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 ...

Booz Allen Hamilton

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 ...

Booz Allen Hamilton

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 ...

kgs

AI Engineer

Washington, DC

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 ...

Stellent IT LLC

AI Engineer

Gaithersburg, MD · On-site

Job Title:- AI Engineer Job Location:- Chantilly VA OR Gaithersburg MD or St. Louis MO or Alexandria VA Hybrid (3 days onsite; 2 remote) Permanent Role 7+ year's experience leading, designing and ...

Koniag Government Services

AI Engineer

Washington, DC · On-site

Koniag Government Services is seeking an AI Engineer to support their government customer. The role involves designing and developing AI models, collaborating on data analysis, and integrating AI ...

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

AI ENGINEER Location: Reston, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

R0241086 AI Engineer The Opportunity: As an experience d engineer, you know that artifi cia l intelligence (AI) is critical to understanding and processing massive datasets. Your ability to conduct ...

ManTech

AI Engineer

Washington, DC · On-site +1

$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 ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain a Public Trust Criteria: Need US citizenshipbecause of federal regulations ...

Booz Allen Hamilton

AI Engineer

Reston, VA · On-site

Booz Allen Hamilton is seeking an AI Engineer to support an enterprise-wide application and data capability. The role involves training, testing, deploying, and maintaining AI models while ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain a Public Trust Criteria: Need US citizenshipbecause of federal regulations ...

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All JobsAi Engineer JobsAi Engineer Jobs in Reston, VA

Ai Engineer information

See Reston, VA salary details

$40.6K

$106.1K

$143.3K

How much do ai engineer jobs pay per year?

As of Aug 7, 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 kind of work do AI engineers do?

AI engineers develop and implement artificial intelligence models and algorithms to solve complex problems, often working with machine learning, deep learning, and data analysis. They design, train, and optimize AI systems using tools like Python, TensorFlow, or PyTorch, and collaborate with cross-functional teams to deploy AI solutions in various applications.

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 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, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

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:
Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $106,053 per year, or $51 per hour.

AI Engineer

Hexaware Technologies, Inc

Reston, VA • On-site

Other

Re-posted 25 days ago

Job description

Must Have Skills:

We are seeking a highly skilled and innovative AI Engineer to design, develop and deploy solutions that solve complex business problems. The AI Engineer will work closely with data scientists, software engineers, business stakeholders, and product teams to build scalable AI-powered applications, Generative AI solutions, and intelligent automation platforms.

  • Design and develop Generative AI applications using Large Language Models.
  • Build Retrieval-Augmented Generation (RAG) solutions using vector databases.
  • Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker
  • Develop autonomous AI agents using: LangChain, LangGraph, Amazon Bedrock Agents
  • Create multi-agent workflows and orchestration frameworks.
  • Integrate agents with enterprise applications and APIs.
  • Build human-in-the-loop workflows for governance and validation.
  • Develop prompt engineering frameworks and AI agents.
  • Fine-tune and customize foundation models based on business requirements.
  • Implement guardrails, governance, and responsible AI practices.
  • Deploy AI models using CI/CD pipelines and MLOps frameworks.
  • Ensure compliance with AI governance, data privacy, and security standards.
  • Implement responsible AI principles, bias detection, and explainability.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business requirements into AI solutions.
  • Strong collaboration and teamwork skills.
  • Continuous learning mindset with passion for emerging AI technologies.

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