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Ai Engineer Developer Jobs in Virginia (NOW HIRING)

ECS

AI Engineer

Springfield, VA · On-site

Everforth ECS is seeking an AI Engineer to work in our Fairfax, VA office and Springfield, VA customer site to support the development of the next-generation Artificial Intelligence/Machine Learning ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton

AI Engineer

Reston, VA

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or Google Cloud Platform ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

AI ENGINEER Location: Reston, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or ...

Luck Stone

AI Engineer

Manakin Sabot, VA · On-site

$106K - $128K/yr

TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral ... Experience with automating AI model training, deployment pipelines, and optimization processes

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA · On-site

... with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and ... integrating AI services into larger enterprise microservice architecture • Security ...

Luck Stone Corporation

AI Engineer

VA · On-site

$106K - $128K/yr

TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral ... Experience with automating AI model training, deployment pipelines, and optimization processes

ECHELON SERVICES LLC

AI Engineer

Herndon, VA

Hands-on experience with DevOps practices and CI/CD pipelines. * Familiarity with distributed ... Knowledge of AI operations and MLOps practices for deploying and maintaining machine learning ...

New

Accenture Federal Services

AI Engineer

Alexandria, VA · On-site

$243K/yr

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

$100K - $203K/yr

The work As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a ...

Navstar

Associate AI Engineer

Arlington, VA

Associate AI Engineer Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US ...

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling * Experience working with AWS, Azure, or GCP cloud platforms ...

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All JobsAi Engineer Developer JobsAi Engineer Developer Jobs in Virginia

Ai Engineer Developer information

What engineers make $500,000?

Senior AI engineer developers with extensive experience, advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does an AI developer make?

An AI developer's salary varies based on experience, location, and skills, but typically ranges from $80,000 to $150,000 annually. Senior AI engineers with advanced expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries, especially in tech hubs or large companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI Director, Chief AI Officer, or senior machine learning executives, often found in large tech companies or finance firms. These positions require advanced expertise in AI development, leadership skills, and often involve overseeing large teams or strategic AI initiatives, with compensation including base salary, bonuses, and stock options.

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

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and improve AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists will also remain in demand to manage data insights and protect AI-driven systems. These roles involve complex problem-solving and adaptability that AI is less capable of replacing fully.
What are popular job titles related to Ai Engineer Developer jobs in Virginia? For Ai Engineer Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Developer jobs in Virginia look for? The top searched job categories for Ai Engineer Developer jobs in Virginia are:
What cities in Virginia are hiring for Ai Engineer Developer jobs? Cities in Virginia with the most Ai Engineer Developer job openings:
Ai Engineer Developer jobs near you
AI Engineer

AI Engineer

International Logic Systems, Inc. (ILS)

Fairfax, VA • Hybrid

Other

Posted 13 days ago

Job description

AI Engineer - required onsite (hybrid) in Fairfax, VA

Overview

ILS Inc. is seeking an AI Engineer to design and implement next-generation AI solutions using large language models (LLMs), agentic workflows, and Model Context Protocol (MCP)-based integrations. The ideal candidate has hands-on experience building AI-powered applications (not just training models) and understands how to orchestrate tools, APIs, and data sources into reliable systems. 

MUST BE LOCAL TO DC METRO AREA (hybrid support - 2 days in ILS HQ office, located in Fairfax, VA 22033).

Responsibilities

  • Design and build agentic AI systems that can reason, plan, and execute tasks using LLMs.
  • Implement integrations using Model Context Protocol (MCP) to connect AI agents with tools, APIs, and enterprise systems.
  • Develop and maintain LLM-powered applications (e.g., copilots, chat systems, automation tools).
  •  Build prompt pipelines, tool-calling workflows, and multi-step reasoning systems.
  • Develop backend services using Java (Spring Boot) and/or Python to expose AI capabilities via APIs.
  • Leverage Spring AI or similar frameworks to integrate LLMs into enterprise applications.
  • Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases.
  • Integrate AI solutions with cloud-native services such as AWS, Azure, and Google Cloud.
  •  Deploy AI services and ensure scalability, reliability, and performance.
  • Collaborate with cross-functional teams in an Agile/Scrum environment.
  • Monitor and optimize AI systems for latency, cost, and output quality.

Qualifications

Required skill sets - Extensive experience with:

  • Bachelor’s degree in computer science, Engineering, or related field.
  • 10  years of professional experience in software engineering, 2-3 years in AI engineering, or applied ML roles.
  • Hands-on experience with LLM APIs.
  •  Experience building agent-based workflows.
  • ·Understanding of prompt engineering, tool usage, and structured outputs.
  •  Familiarity with RAG architectures and vector databases.
  • Experience with Model Context Protocol (MCP) or similar integration standards.
  • Experience working with at least one cloud platform and exposure to others:
    • AWS (Lambda, Bedrock, SageMaker, S3)
    • Azure (Azure OpenAI, Functions, Cognitive Services)
    • Google Cloud (Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, BigQuery)

Preferred Skills

  • Strong programming skills in Python and/or Java.
  • Experience building backend services using Spring Boot (REST APIs, microservices).
  • Exposure to Spring AI or similar frameworks for integrating LLMs into Java applications.
  • Experience with Docker and containerized deployments.
  • Basic frontend experience (React, Angular) for AI-driven applications.
  • Experience working in regulated environments (government, finance, healthcare).

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