ZipRecruiter

Log In

1

Ai Engineer Jobs in Springfield, VA (NOW HIRING)

OpenDataJobs

AI Engineer Role

Washington, DC · On-site

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 ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site +1

$99K - $225K/yr

The AI Engineer will design, build, and maintain AI-enabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development through modern engineering ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site +1

$99K - $225K/yr

The AI Engineer will design, build, and maintain AI-enabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development through modern engineering ...

Booz Allen Hamilton

AI Engineer

Mclean, VA · On-site

$150 - $200/hr

AI Engineer The Opportunity: The AI Engineer will design, build, and maintain AI-enabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: The AI Engineer will design, build, and maintain AI-enabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: The AI Engineer will design, build, and maintain AI-enabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development ...

Rios Partners

AI Engineer

Arlington, VA · On-site +1

$100K - $110K/yr

As an AI Engineer, you will leverage modern AI tools--including Claude, ChatGPT, and other advanced coding assistants--to dramatically increase software development productivity. You will develop AI ...

Surescripts

Principal AI Engineer

Arlington, VA · On-site

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 ...

Booz Allen Hamilton

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: The AI Engineer will design, build, and maintain AIenabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development ...

Surescripts

Principal AI Engineer

Arlington, VA · On-site

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 ...

Booz Allen Hamilton

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: The AI Engineer will design, build, and maintain AIenabled software solutions that enhance mission delivery, automate complex workflows, and accelerate development ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

AI Engineer Location: Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public Trust Responsibilities * Build and deploy agentic AI systems capable of ...

Merican

AWS AI Engineer

Herndon, VA · On-site

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.

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site

$77K - $176K/yr

AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...

Booz Allen Hamilton

AI Engineer

Arlington, VA · On-site

$77K - $176K/yr

AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...

System One Holdings, LLC

AI Engineer

Washington, DC · On-site

$52.85/hr

AI Engineer Location: Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public Trust Responsibilities * Build and deploy agentic AI systems capable of ...

eSolutionsFirst, LLC

AI Engineer

Mclean, VA · On-site

We are seeking a highly experienced Senior Software Engineer to design, build, and scale our next-generation Agentic AI Platform. The role focuses on LLMs, RAG, Multi-Agent Systems, and MCP, with ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

AI Engineer Location: Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public Trust Responsibilities * Build and deploy agentic AI systems capable of ...

Booz Allen Hamilton

AI Engineer

Mclean, VA · Hybrid

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

Booz Allen Hamilton

AI Engineer

Washington, DC · Hybrid

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI ...

previous pagenext page

Showing results 21-40

All JobsAi Engineer JobsAi Engineer Jobs in Springfield, VA

Ai Engineer information

See Springfield, VA salary details

$40.7K

$106.3K

$143.6K

How much do ai engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai engineer in Springfield, VA is $106,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,700.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

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

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

What are popular job titles related to Ai Engineer jobs in Springfield, VA?

For Ai Engineer jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Ai Engineer jobs in Springfield, VA look for?

The top searched job categories for Ai Engineer jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Ai Engineer jobs?

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

Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in Springfield, VA as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $106,283 per year, or $51.1 per hour.

AI Engineer Role

Washington, DC • On-site

OpenDataJobs
See more jobs at OpenDataJobsexternal

Full-time

Re-posted 2 days ago

Job description

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 inputs through model or service selection, system design, evaluation, deployment, monitoring, incident response, and continuous improvement.

This is systems engineering around AI behavior. AI Engineers connect data pipelines, models, APIs, user experiences, business rules, and human-review paths, then test the complete system under conditions that reflect how people will use it. They make limitations visible and match security, traceability, and oversight to the consequences of the work.

What you'll build

  • Document and content pipelines that apply OCR, parse layouts, extract and validate information, preserve provenance, and make authoritative content usable downstream.
  • Predictive, classification, recommendation, natural language, computer vision, or decision-support services that combine custom models, pretrained models, externally provided AI services, and deterministic software.
  • Search and knowledge applications that use retrieval, retrieval-augmented generation (RAG), controlled source access, and traceable references.
  • Workflow and agent-based systems with scoped tools, permission boundaries, approval paths, exception handling, and audit trails where agentic patterns fit the problem.
  • Evaluation and operations capabilities that version, test, release, trace, monitor, diagnose, and roll back models, prompts, configurations, retrieval indexes, and supporting software.

Who you are

You see the model as one part of a larger system. You can move between user needs, data, software, model behavior, and production operations without losing sight of the outcome, and you choose the simplest approach that meets the need.

You test assumptions against evidence, communicate tradeoffs clearly, and work comfortably with domain experts, users, data engineers, data scientists, Machine Learning Engineers, security specialists, governance teams, and operations teams. You know when to build, when to integrate, when to escalate, and when AI is not the right answer.

What you bring

  • A working foundation in software engineering, including programming, APIs, testing, version control, and the design of services or applications.
  • Practical experience with structured or unstructured data, including preparation, validation, metadata, access controls, quality, and traceability.
  • Applied understanding of AI and machine learning, including model or service selection, evaluation design, error analysis, and clear communication of limitations.
  • Experience contributing to production reliability through deployment discipline, observability, performance and cost management, security, incident response, or related operational practices.
  • The judgment to match evaluation, documentation, safeguards, and human oversight to the context and consequences of the system.

What openings may require

An opening may emphasize document intelligence, conventional ML, generative AI, RAG, agents, computer vision, AI platforms, machine learning operations (MLOps), generative AI operations, evaluation, security, governance, or a particular mission domain.

Specific openings may name programming languages, cloud environments, model providers, ML frameworks, document-processing tools, search or vector platforms, workflow and agent frameworks, data stores, container and deployment platforms, observability systems, or regulated-development practices. OPEN Data Jobs will identify the required and preferred capabilities with each opening.

Compensation and benefits

Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.

Register for AI Engineer Role

Click Apply below to register for AI Engineer Role.

Apply