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Ai Applications Engineer Jobs in Reston, VA (NOW HIRING)

Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. * Build and maintain AI pipelines, from data processing to model deployment. * Analyze ...

The Senior Web Applications Engineer will serve as a technical owner, making architectural ... Experience applying AI or automation to software products or development workflows. Salary Range ...

The Senior Web Applications Engineer will serve as a technical owner, making architectural ... Experience applying AI or automation to software products or development workflows. Salary Range ...

The Senior Web Applications Engineer will serve as a technical owner, making architectural ... Experience applying AI or automation to software products or development workflows. Salary Range ...

Sr. AI Platform Engineer

Centreville, VA · On-site

$103K - $142K/yr

Systems Engineering Services is seeking a Sr. AI Platform Engineer based in the DMV Area. About the ... AI applications that require governed model access, MCP-based access to tools and data, secure ...

Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

Build LLM-powered applications for text generation, summarization, Q&A, conversational AI ... Strong software engineering background with experience designing and deploying production-grade ...

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

Collect, preprocess, and engineer large datasets for machine learning and AI applications. * Recommend and Implement Data Cleaning and Preparation * Analyse and use structured and unstructured data ...

Showing results 21-40

Ai Applications Engineer information

See Reston, VA salary details

$52.5K

$115.2K

$158.1K

How much do ai applications engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai applications engineer in Reston, VA is $115,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $140,400.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Reston, VA?

For Ai Applications Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Ai Applications Engineer jobs in Reston, VA look for?

The top searched job categories for Ai Applications Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Ai Applications Engineer jobs?

Cities near Reston, VA with the most Ai Applications Engineer job openings:

AI ENGINEER

Reston, VA • On-site

BTree Solutions, Inc.
IT Services • 51 - 200 employees

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: AI ENGINEER
Location: Reston, VA
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
Job Description:
  • Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
  • Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
  • Build and maintain AI pipelines, from data processing to model deployment.
  • Analyze complex datasets to uncover insights and improve model performance.
  • Ability to analyze complex problems and develop effective AI-driven solutions.
  • Deploy AI solutions on cloud platforms such as AWS.
  • Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
  • Deep understanding of deploying AI applications within a CICD environment, specifically AWS.

Preferred qualifications:
  • Experience with MLOps tools (e.g., MLflow, Kubeflow).
  • Knowledge of big data technologies (Spark, Hadoop, Databricks).
  • Background in NLP, computer vision, or other advanced AI techniques.
  • Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).

Required qualifications:
  • Strong programming skills in Python, R, or Java.
  • Hands-on experience with machine learning algorithms and frameworks.
  • Familiarity with major cloud platforms for AI deployment.
  • Strong analytical and problem-solving skills.
  • Solid foundation in mathematics and statistics.