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Applied Ai Engineer Jobs in Silver Spring, MD (NOW HIRING)

Vibehackers

Applied AI Architect, Government

Washington, DC · On-site

$200 - $250/hr

Lead discovery with agency leaders, executives, and engineering teams to identify and prioritize use cases tied to mission outcomes. * Design Applied AI Architectures covering models, applications ...

New

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

The role requires deep, hands-on expertise across modern data engineering and applied AI engineering. The Data & AI Engineer will implement retrieval-augmented generation (RAG) patterns, embedding ...

Carlyle

Data & AI Engineer

Washington, DC · On-site

$150 - $200/hr

The role requires deep, hands-on expertise across modern data engineering and applied AI engineering. The Data & AI Engineer will implement retrieval-augmented generation (RAG) patterns, embedding ...

Bah

University - Applied AI Intern

Washington, DC · On-site

$69K - $158K/yr

As an Applied AI Intern, you'll help our defense mission space team explore new approaches in ... AI-enabled defense capabilities require software developers who can design, test, and refine ...

Bah

University - Applied AI Software Developer

Mclean, VA · On-site

$53K - $108K/yr

As an Applied AI Software Developer, you'll help our team explore emerging approaches in optimization, modeling, probability, and algorithmic development to advance the next generation of mission ...

Geico

Sr Staff Engineer - Applied AI

Bethesda, MD

Role Overview GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility ...

Oddball

Applied AI/ML Engineer

Washington, DC · On-site +1

We're looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and ...

Oddball

Applied AI/ML Engineer

Washington, DC · On-site

We're looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in Silver Spring, MD

Applied Ai Engineer information

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

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

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

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Silver Spring, MD?

For Applied Ai Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Applied Ai Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Applied Ai Engineer jobs?

Cities near Silver Spring, MD with the most Applied Ai Engineer job openings:

Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

Applied AI Software Engineer, GTM

Antithesis Operations LLC

Vienna, VA • On-site

Full-time

Posted 3 days ago

New

Job description

About Antithesis
We're on a mission to redefine how modern distributed systems are tested and released. Our platform is trusted by engineering teams who demand rock-solid reliability, scalable performance, and deep technical visibility. Our platform doesn't just assure system correctness and reliability, it exists because developers need something better. If you've ever experienced the pain of a production outage, had a bad week on-call, or had a release delayed by weeks because of one killer bug - you'll understand exactly why we're doing what we do. If you're passionate about developer-first products, system resilience, and correctness, we'd love to talk.
About the Role
We're hiring an Applied AI Software Engineer to build AI-native products to help our go-to-market and marketing teams.
You'll work at the intersection of software engineering, applied AI, data, and GTM operations.
What You'll Do
  • Work directly with Sales, Marketing and RevOps to understand how they work, where they get stuck, and how they could do more with technology.
  • Design, build, and ship full-stack products that use AI to help non-technical teams get work done.
  • Build everything from lightweight agent workflows and automations to production applications for research, enrichment, account scoring, and other GTM problems.
  • Make pragmatic build-versus-buy decisions. The right solution might use an existing tool, a reusable agent skill, a custom integration, or a full application.
  • Partner with RevOps to integrate with the systems that GTM teams use like Salesforce, Marketo, and Gong.

Why Join Us?
  • Join a collaborative, kind team supporting a rapidly-growing sales organization.
  • Work with the resources - tools, teammates, and world-class experts - to do portfolio-worthy work.
  • Use and explore AI in an environment that does not tolerate workslop.

Preferred Qualifications
  • 4+ years of professional software engineering experience, including independently shipping and operating production systems.
  • Experience shipping an LLM-powered product, feature, or workflow for real users. You understand the difference between an impressive prototype and a system people can depend on.
  • Experience working directly with non-technical users to understand their workflows, test ideas, and improve products through feedback.
  • Experience integrating with business systems such as Salesforce, HubSpot, Gong, Slack, or data-enrichment platforms.
  • Strong product and engineering judgment. You can move quickly when the problem calls for an experiment and build for reliability when the solution becomes business critical.

Our current stack for internal GTM applications includes TypeScript, React, LangChain, and AWS. Experience with these tools is helpful, but we care more about strong engineering fundamentals and the ability to learn.

Apply