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Ai Engineer Developer Jobs in Virginia (NOW HIRING)

AI Engineer

Richmond, VA · On-site +1

$52.88/hr

... BI Developer and operational SME s across VCU Health, the AI Engineer will work on complex business problems and provide actionable insights with the overarching goal of improving clinical and ...

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 ...

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 ...

The AI Engineer will work as part of an Agile delivery team, collaborating closely with data scientists, cloud engineers, and system architects to design, develop, and operationalize AI-driven data ...

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 ...

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 ...

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 ...

Plateau GRP is seeking a skilled AI Engineer to support a large-scale data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The ideal candidate will apply artificial ...

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 ...

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 ...

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 ...

AI Engineer

Manakin Sabot, VA

$106.90K - $128.40K/yr

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

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

As an AI Engineer, you will operationalize advanced AI systems within production environments and integrate AI solutions with various engineering practices to support mission-critical applications.

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

AI Engineer

VA · On-site

$106.90K - $128.40K/yr

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

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Showing results 1-20

Ai Engineer Developer information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI engineers, machine learning directors, or AI research leads, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

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.

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

Full-time

Posted 22 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.

Required skill sets - Extensive experience with:

  • Bachelor’s degree in computer science, Engineering, or related field.
  • 5-9 years of professional experience in software engineering, 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).