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Ai Engineer Developer Jobs in Virginia (NOW HIRING)

The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment ...

As an AI Developer on our Air Power team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of critical solutions by applying ...

AI Engineer Location: Mechanicsville, VA Duration: 06 months Interview Type: In-Person Only Complete Description: The Client is seeking a highly skilled AI Engineer to implement, maintain, and manage ...

As an AI Developer on our Air Power team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of critical solutions by applying ...

As an AI Developer on our Air Power team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of critical solutions by applying ...

They are seeking an AI Engineer to operationalize advanced AI systems in production environments, focusing on enterprise AI adoption and mission-critical applications. Responsibilities : • Design ...

AI Engineer

Arlington, VA · On-site

$100.20K - $203.40K/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 ...

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 ...

AI Engineer

Arlington, VA · On-site

$116.90K - $243.10K/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 ...

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 ...

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 ...

C3 AI Engineer

Mclean, VA

$140K - $190K/yr

The C3 AI Engineer will work across the full stack of AI development, including data integration, model development, application configuration, and deployment, and will collaborate closely with ...

C3 AI Engineer

Mclean, VA

$140K - $190K/yr

The C3 AI Engineer will work across the full stack of AI development, including data integration, model development, application configuration, and deployment, and will collaborate closely with ...

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 ...

C3 AI Engineer

Mclean, VA · On-site

$140K - $190K/yr

The C3 AI Engineer will work across the full stack of AI development, including data integration, model development, application configuration, and deployment, and will collaborate closely with ...

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

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 · 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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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 7 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 424 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizens' lives. The AI Engineer will focus on operationalizing advanced AI systems within production environments, ensuring seamless integration with various engineering practices and contributing to the deployment of AI solutions for mission-critical applications.
Responsibilities:
• Design, develop, and operationalize AI and agentic AI systems for production mission environments
• Implement and optimize AI/ML production engineering workflows, including LLMOps and MLOps best practices
• Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
• Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs
• Develop and maintain Python-based AI applications, focusing on GPU inference optimization
• Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions
• Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability
• Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity
• Support enterprise AI governance, continuous monitoring, and observability for mission-critical applications
• Contribute to the delivery of scalable, secure, and reliable AI software within a modern Hub-and-Spoke architecture
• Participate in the integration of operational workflows to accelerate AI adoption and mission impact
Qualifications:
Required:
• Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Kubernetes-based AI deployments, OpenAI-compatible APIs, and Python development
• Experience in GPU inference optimization and working within NVIDIA GPU ecosystems
• US Citizen
• An active TS/SCI federal security clearance is required
Preferred:
• Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
• Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms will help you succeed in supporting the continuous evolution and governance of enterprise AI systems
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Accenture Federal Services employees say

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Benefits

Hours and flexibility

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