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

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 ...

Carlyle

Data & AI Engineer

Washington, DC · On-site

$160 - $180/hr

Position SummaryThe Data & AI Engineer is an experienced, hands-on engineer who turns Carlyle ... Support discovery and consumption tooling so that analysts, applications, and agents can find and ...

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Position Summary The Data & AI Engineer is an experienced, hands-on engineer who turns Carlyle ... Support discovery and consumption tooling so that analysts, applications, and agents can find and ...

Booz Allen Hamilton

Secure AI Engineer

Washington, DC · On-site

$77K - $176K/yr

Secure AI Engineer The Opportunity: Are you looking for an opportunity to use your knowledge and ... You Have: * 1+ years of experience developing applications using LLMs and modern AI frameworks * 1+ ...

New

Cornerstone Defense LLC

AI/ML Engineer

Herndon, VA · On-site

$100 - $140/hr

AI/ML Engineer Location: Herndon, Virginia Clearance: Active TS/SCI w/ Polygraph needed to apply ... applications and data centric mission management applications, with a focus on artificial ...

Booz Allen Hamilton

Secure AI Engineer

Washington, DC · On-site

$77K - $176K/yr

R0245884 Secure AI Engineer The Opportunity: Are you looking for an opportunity to use your ... You Have: * 1+ years of experience developing applications using LLMs and modern AI frameworks * 1+ ...

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

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 Aug 21, 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?

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

Ai Applications Engineer jobs near you

Senior AI Software Engineer (Generative AI / AWS Bedrock)

WorkNovas LLC

Reston, VA • On-site

$127K - $168K/yr

Contractor

Re-posted yesterday

Job description

F2F interviewSenior AI Software Engineer (Generative AI / AWS Bedrock)

Reston, VA, 3 days onsite

Description:

• 6+ years software engineering experience

• 3+ years building AI/ML-powered applications

• Experience deploying AI systems into production

Python Programming is must 

About the Role

We are seeking a Senior AI Software Engineer to design and build production-grade AI applications powered by large language models and foundation models. In this role, you will develop scalable commercial solutions using AWS Bedrock and other AI model providers, integrating advanced AI capabilities into real-world products and platforms.

You will work at the intersection of AI engineering, cloud architecture, and product development, building intelligent systems that leverage multiple foundation models for reasoning, automation, and data-driven insights.

This is a hands-on role for engineers passionate about transforming cutting-edge AI capabilities into robust, scalable commercial applications.

What You’ll Do

Technology Stack and AI/LLM Programming Expertise

• Hands-on experience with LLM APIs or foundation models

• Experience building:

o RAG systems

o AI copilots

o conversational agents

o automated workflows

o AI-driven analytics

o document AI solutions

• Python

• Java / TypeScript / Go (any backend language)

• Design and develop production AI applications using models available via AWS Bedrock and external providers

o AWS Bedrock

§ Anthropic Claude

§ Amazon Titan

§ Meta Llama

§ Cohere

§ OpenAI

o OpenAI

o Open-source LLMs

o S3, API Gateway, Step Functions, Lambda / ECS / EKS, Docker / Kubernetes

o FastAPI

o Terraform

Create pipelines for:

o embeddings

o document ingestion

o knowledge indexing

o model evaluation

• Vector databases (pg-vector, S3-vector, OpenSearch, FAISS)

• Embeddings and semantic search

• Prompt engineering

• Tracing, hallucination detection, cost monitoring, prompt performance, drift detection

• Model evaluation frameworks

• Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks

• LLM Monitoring and Observability

• Experience with multi-model routing systems

• Experience building AI agents or tool-using LLMs

• Knowledge of AI safety, guardrails, and prompt management

• Experience deploying models with Docker and Kubernetes

• MCP, FastMCP

• Reinforcement Learning

• AWS SageMaker with MLOPs

• Experience with Bedrock API [Like from Lambda or Other services]

• Design high-performance AI APIs and microservices

• Optimize latency, reliability, and cost of model inference

• Implement evaluation pipelines and monitoring for AI systems

What We’re Looking For

The ideal candidate:

• Thinks like a systems architect and builder

• Has shipped real AI products to production

• Understands tradeoffs between models

• Can design robust AI pipelines

• Is comfortable working with rapidly evolving AI technologies

Example Problems You’ll Work On

• Build an enterprise knowledge assistant using Bedrock

• Create AI agents that automate complex workflows

• Develop document intelligence pipelines for financial or operational data

• Design multi-model orchestration frameworks

• Optimize LLM cost, latency, and reliability