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Ai Programmer Jobs in Washington, DC (NOW HIRING)

Senior AI Engineer

Annapolis Junction, MD ยท On-site

$114K - $228K/yr

Overview BigBear.ai is seeking a BigBear.ai is seeking a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine ...

Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation ...

AI Engineer

Reston, VA ยท On-site

The AI Engineer will work closely with data scientists, software engineers, business stakeholders, and product teams to build scalable AI-powered applications, Generative AI solutions, and ...

AI Engineer

Washington, DC ยท On-site +1

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

The work AI Engineers build and operate systems that turn data, documents, models, and AI services into useful applications and workflows. The work runs from understanding the problem and preparing ...

The work AI Engineers build and operate systems that turn data, documents, models, and AI services into useful applications and workflows. The work runs from understanding the problem and preparing ...

The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across ...

AWS AI Engineer Location: Herndon, VA Work Mode: Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems.

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

Lead AI Integration Engineer

Herndon, VA ยท On-site

$105K - $138K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

The Low Code AI Engineer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large ...

Lead AI Integration Engineer

Herndon, VA ยท On-site

$105K - $138K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

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Ai Programmer information

See Washington, DC salary details

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How much do ai programmer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai programmer in Washington, DC is $44.76, according to ZipRecruiter salary data. Most workers in this role earn between $29.13 and $58.22 per hour, depending on experience, location, and employer.

What does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

How do you become an AI programmer?

To become an AI programmer, you typically need a strong foundation in programming languages such as Python or C++, knowledge of machine learning frameworks like TensorFlow or PyTorch, and a background in computer science, mathematics, or data science. Gaining experience through projects, online courses, or certifications in AI and machine learning is also important for developing relevant skills.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the most commonly searched types of Ai Programmer jobs in Washington, DC?

The most popular types of Ai Programmer jobs in Washington, DC are:

What are popular job titles related to Ai Programmer jobs in Washington, DC?

For Ai Programmer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Ai Programmer jobs in Washington, DC look for?

The top searched job categories for Ai Programmer jobs in Washington, DC are:

Infographic showing various Ai Programmer job openings in Washington, DC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $93,104 per year, or $44.8 per hour.

Senior AI Engineer

Bigbear.ai

Annapolis Junction, MD โ€ข On-site

$114K - $228K/yr

Full-time

Posted 19 days ago


Job description

Overview

BigBear.ai is seeking a

BigBear.ai is seeking a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques to support the exciting new AI and Emerging Technologies (AI&ET) mission. The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities.


Responsibilities

Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.


Qualifications

  • Bachelor's degree plus 8-years of relevant experience or equivalent.

  • Active TS/SCI with Poly

  • Proficiency in Python, LLM integration, and data engineering.

  • Experience with static analyzers, RAG framework, and relational and vector databases. Fa

  • Fimiliarization with Agile, Git, Jira, and Confluence.

  • Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.

  • Support security assessments and authority to operate (ATO) processes.