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Ai Applications Engineer Jobs in Springfield, VA

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 ...

Aristotle

Senior Web Applications Engineer

Washington, DC · On-site

$140K - $175K/yr

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 ...

Aristotle

Senior Web Applications Engineer

Washington, DC · On-site

$140K - $175K/yr

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 ...

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Showing results 21-40

All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Springfield, VA

Ai Applications Engineer information

See Springfield, VA salary details

$52.7K

$115.6K

$158.8K

How much do ai applications engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai applications engineer in Springfield, VA is $115,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $141,000.00 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 cities near Springfield, VA are hiring for Ai Applications Engineer jobs?

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

Ai Applications Engineer jobs near you

Software Engineer- Full Stack AI Applications

Mpr Associates, Inc.

Alexandria, VA • On-site

Other

Re-posted 5 days ago

Job description

Overview
MPR Associates, Inc. (MPR), a thriving multi-discipline, specialty engineering services and consulting firm, is actively seeking a capable and motivated Software Engineer to join our team. If you are seeking a unique, challenging, and rewarding career opportunity, MPR may be the right company for you.
Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal services, and health and life sciences, in the United States as well as internationally. Headquartered in Alexandria, Virginia, we also have offices in East Lyme, Connecticut, Burlington, Massachusetts, and Salt Lake City, Utah. MPR makes challenging projects successful, delivering safe and reliable technical solutions across the entire project or product life-cycle to benefit our clients and society as a whole. We hire the best and brightest, which results in a high-performance culture built on trust and respect, making MPR an exceptional place to work.
General Job Description
Join our specialized engineering team building cutting-edge AI applications for the nuclear and energy industry. We're a focused innovation team within a large organization, operating with startup agility to develop B2B solutions that will transform how the nuclear industry handles critical document analysis and AI verification.
As a key member of our small, high-impact team, you'll be building full-stack AI applications from the ground up, starting with document analysis and verification tools that will expand into a broader suite of mission-critical energy sector applications.
Duties/Responsibilities
  • Build from scratch: Architect and develop new AI-powered applications using modern full-stack technologies.
  • AI/ ML Integration: Implement Retrieval-Augmented Generation (RAG) systems for intelligent document processing and analysis.
  • Full Stack Development: Work across the entire technology stack, from front end user interfaces to backend AI services.
  • Cloud Infrastructure: Deploy and manage applications on AWS using services like ECS, S3, Bedrock, API Gateway, and Route 53.
  • Domain Impact: Create tools that enhance efficiency in the nuclear energy sector.
  • Rapid Innovation: Move quickly in a small team environment where contributions directly shape product direction.

Qualifications
  • U.S. Citizenship required.
Education
  • Bachelor of Science in Computer Engineering, Computer Science, Software Engineering or related discipline.
Experience
  • Four (4) or more years of software engineering experience.
  • Proven experience building production applications.
  • Experience with docker containerized applications.
  • Experience with document processing, NLP, or knowledge management systems preferred.
  • Existing experience working in highly regulated industries preferred.
  • Experience with FastAPI, Asyncio, and boto3 preferred.
  • Experience with Terraform IaC for AWS preferred.
  • Proficient in or eager to learn: Python, TypeScript/React, RAG/ Vector Databases, and/ or AWS
Skills
  • The ability to learn quickly and adapt to new technologies while multitasking.
  • Excellent communication skills, both written and oral.
  • Ability to work collaboratively across functional teams.
  • Exceptional time and project management skills.
  • Ability to work in a dynamic and fast-paced environment.
  • Persistent, questioning attitude and ability to accept that in others.
  • Motivated to expand skills and knowledge, as well as tackle new problem and take on new responsibilities.

MPR Associates, Inc. is an equal opportunity and affirmative action employer, who participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, religion, age, disability, veteran's status, sexual orientation, gender identity, genetic information or any other classification as required by applicable laws. MPR is a certified Virginia Values Veterans (V3) employer.

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