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Ai Applications Engineer Jobs in Virginia (NOW HIRING)

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

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 ...

Ekcel Technologies Inc

AI engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders ... Design and develop Generative AI applications using Large Language Models. Build Retrieval ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders ... Design and develop Generative AI applications using Large Language Models. * Build Retrieval ...

Dollar Tree

AI Developer

Chesapeake, VA · On-site

$121K - $136K/yr

... applications, and our operational systems. The ideal candidate is a senior engineer with 8+ years ... They are adept with generative AI, large language models, and agentic AI frameworks, and bring a ...

Dollartree

AI Developer

Chesapeake, VA · On-site

$121K - $136K/yr

... applications, and our operational systems. The ideal candidate is a senior engineer with 8+ years ... They are adept with generative AI, large language models, and agentic AI frameworks, and bring a ...

Dollar Tree

Applied AI Lead Developer

Chesapeake, VA · On-site

$132K/yr

... engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to ...

Dollartree

Applied AI Lead Developer

Chesapeake, VA

$132K/yr

... engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · On-site +1

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work ...

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Ai Applications Engineer information

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 is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

What are the key skills and qualifications needed to thrive as an AI Applications Engineer, and why are they important?

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.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

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.
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What cities in Virginia are hiring for Ai Applications Engineer jobs? Cities in Virginia with the most Ai Applications Engineer job openings:
Ai Applications Engineer jobs near you

Applications Engineer (Deep Learning/Machine Learning)

Brillient

Reston, VA

Full-time

Re-posted 25 days ago

Job description

Brillient Corporation is seeking an Applications Engineer (Deep Learning/Machine Learning) to join its team in Reston, Virginia to work on client facing projects as well as internal projects.

Description:The Applications Engineer will work on intelligent automation, and AI/cognitive applicationsincluding machine learning and deep learning techniques. He/shewill interface with non-technical users to document requirements, develop applications using an agile development process and be in charge of deployment and operations. Opportunities to learnand applynext generation technologies in the areas ofAI,machine learning and block-chain.

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