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Artificial Intelligence Software Developer Jobs in Washington

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Job Title Artificial Intelligence Engineer Position Summary ---Position is contingent on award ... The AI Engineer works closely with software development, cybersecurity, data, and infrastructure ...

Posted today

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

New

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives. * U.S. Citizenship ...

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Showing results 1-20

Artificial Intelligence Software Developer information

See Washington salary details

$54.4K

$126.7K

$188K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence software developer in Washington is $126,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $147,200.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

Infographic showing various Artificial Intelligence Software Developer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 6% Part Time, 2% Temporary, and 8% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $126,675 per year, or $60.9 per hour.

Artificial Intelligence Engineer (Remote)

Washington, DC • Remote

$165K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 hours ago

Posted today

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Job description

Job Title

Artificial Intelligence Engineer


Position Summary

---Position is contingent on award.---


ASI works with the Veterans Administration (VA) to provide high quality, effective, and efficient Information Technology (IT) services to those responsible for providing care to the Veterans at the point-of care as well as throughout all the points of the Veterans’ health care in an effective, timely and compassionate manner. VA depends on Information Management/Information Technology (IM/IT) systems to meet mission goals.


The Artificial Intelligence Engineer is responsible for designing, developing, implementing, and maintaining AI-powered solutions that support business and cybersecurity objectives. This role focuses on developing and integrating machine learning and AI models, automating processes, analyzing data, and applying AI technologies to solve complex problems. The AI Engineer works closely with software development, cybersecurity, data, and infrastructure teams to ensure AI solutions are secure, scalable, reliable, and aligned with project requirements.


Key Responsibilities (Consolidated)

· Design, develop, integrate, test, deploy, and maintain approved AI and machine learning capabilities for cybersecurity architecture, engineering, automation, analytics, security testing, and data protection use cases.

· Identify and evaluate AI-enabled automation opportunities within engineering design reviews, baseline configuration management, risk analysis, cybersecurity tool workflows, security testing, and Data Loss Prevention (DLP).

· Categorize, test, and validate standalone AI systems and AI features embedded in commercial or Software as a Service (SaaS) offerings before use and continuously as models, features, controls, data, or architectures change.

· Evaluate AI outputs for accuracy, factuality, grounding, uncertainty, source provenance, reliability, security, and compliance before the outputs are used in VA efforts.

· Develop and execute model evaluation, benchmark, adversarial testing, red-team, and monitoring methods that identify hallucinations, unsafe behavior, security weaknesses, and material performance deviations.

· Prepare and maintain acceptable use policies, model cards, system cards, data cards, evaluation results, end-user resources, feedback mechanisms, pre-training and post-training documentation, and enterprise-control descriptions.

· Document system prompts, classifiers, fine-tuning, moderation controls, safety filters, third-party modifications, training provenance, risks, mitigations, and material AI model or system changes.

· Support required AI Statements of Attestation, compliance monitoring, reporting, corrective action plans, and advance change disclosures before implementation.

· Protect VA-sensitive information and ensure AI capabilities use only authorized data, environments, services, and configurations in accordance with VA and federal requirements.

· Maintain approved AI workflows and autonomous-agent configurations in a version-controlled repository with purpose, application context, dependencies, access controls, audit history, and rollback support.

· Measure and report the effect of AI-enabled automation on analytical effort, review time, rework, error rates, classification accuracy, gap-identification timeliness, and security outcomes.

· Collaborate with cybersecurity, software, data, infrastructure, architecture, privacy, legal, and program teams and remain current with emerging AI threats, methods, technologies, and federal guidance.

· Perform other responsibilities as assigned.


Required Skills and Qualifications

· Master’s degree in Artificial Intelligence, Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or related fields.

· Certification in one or more of the following: IAT III, IAM III or IASAE III certifications.

· Minimum of 10 years of experience in relevant fields including IT security, data science, or software engineering, of which at least 5 years involve the design, development, or deployment of AI or machine learning systems in enterprise or Government environments A PhD in a related field (IT security, data science, or software engineering) may substitute for up to 5 years of the required experience.

· Expertise working on data science, machine learning, or AI projects, either through internships, research projects, or professional roles.

· Expertise building, training, and deploying machine learning models and AI systems in a production environment.

· Expertise in data collection, preparation, cleaning, analysis, lineage, and quality controls for AI and machine learning systems.

· Demonstrated experience with AI model validation, benchmark testing, continuous monitoring, technical documentation, and secure AI implementation in regulated enterprise environments.

· Expertise collaborating with data scientists, software developers, cybersecurity engineers, infrastructure teams, domain experts, and governance stakeholders.

· Expertise applying AI solutions to real-world problems at large corporations or Government agencies similar in size and scope to GSA, IRS, DoD, or VA.

· Must be authorized to work for any employer in the U.S.

· Must be able to obtain and maintain the required security clearance.


Preferred Qualifications

· Experience with generative AI and large language model security, model and system cards, grounded output evaluation, adversarial testing, red teaming, MLOps or LLMOps, and federal trustworthy-AI governance.

· Previous VA experience.

· Current Public Trust or ability to obtain a Public Trust clearance quickly.


Location

Fully Remote (Contingent Position)


Legal:

ASI is an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Job Type

Full-time


Benefits:

· Medical insurance

· Vision insurance

· Dental insurance

· 401(k)

· Paid time off

Company Description

ASI provides IT consulting services to federal, state, and local government while focusing on innovation using applied science principles. Our core vision centers around secure automation of technology through programmatic and result driven iterative changes to empower our partners.