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Openai Jobs in Reston, VA (NOW HIRING)

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

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

Kaav Inc.

AI/ML Engineer

Arlington, VA · On-site +1

Identify opportunities to leverage and integrate OpenAI/ML technologies and capabilities into Client OIG processes, products, or services. Design, develop, evaluate, test, maintain, and monitor Azure ...

History Factory

Staff Engineer

Washington, DC · On-site

Design and implement AI-powered features (generation, classification, extraction, RAG/embeddings) using frontier models such as OpenAI GPT-5 or Google Gemini. * Create durable workflow automations ...

Steampunk

AI Innovation Engineer

Mclean, VA · On-site

OpenAI (GPT-4), Claude, Gemini, Llama 3 * LangChain, LlamaIndex, or similar RAG frameworks * AWS Bedrock, GCP Vertex AI, Azure OpenAI Service * Vector databases (e.g., FAISS, Pinecone, Weaviate ...

Cengage

AI/ML Engineer - Higher Ed

Washington, DC · On-site

Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock) * Experience with RAG architectures, vector databases, and embedding models * Solid software engineering fundamentals ...

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site

AWS Bedrock, Azure OpenAI, and multi-LLM orchestration * Develop end-to-end prototypes integrating: * Cloud-native services * Federal or enterprise data sources * APIs and microservices * Enterprise ...

Steampunk

AI Innovation Engineer

Mclean, VA

OpenAI (GPT-4), Claude, Gemini, Llama 3 * LangChain, LlamaIndex, or similar RAG frameworks * AWS Bedrock, GCP Vertex AI, Azure OpenAI Service * Vector databases (e.g., FAISS, Pinecone, Weaviate ...

Steampunk

AI Innovation Engineer

Mclean, VA

OpenAI (GPT-4), Claude, Gemini, Llama 3 * LangChain, LlamaIndex, or similar RAG frameworks * AWS Bedrock, GCP Vertex AI, Azure OpenAI Service * Vector databases (e.g., FAISS, Pinecone, Weaviate ...

History Factory

Staff Engineer

Washington, DC · On-site

Design and implement AI-powered features (generation, classification, extraction, RAG/embeddings) using frontier models such as OpenAI GPT-5 or Google Gemini. * Create durable workflow automations ...

Kanor Systems

GenAI Developer

Mclean, VA

$51.50 - $71/hr

Experience with at least one major LLM provider API (OpenAI, Anthropic, Azure OpenAI, etc.) for inference and prompt engineering. * Familiarity with vector databases such as Chroma, Pinecone ...

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Openai information

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How much do openai jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for openai in Reston, VA is $30.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $44.52 per hour, depending on experience, location, and employer.

What types of projects and collaborative opportunities can I expect when working at OpenAI?

At OpenAI, you’ll have the chance to work on cutting-edge AI research and development projects ranging from natural language processing models to reinforcement learning systems. Many projects are highly interdisciplinary, allowing you to collaborate with teams of experts in computer science, engineering, ethics, and policy. Teamwork and collaboration are central to the work culture, offering regular opportunities for knowledge sharing, brainstorming, and peer review. This collaborative environment not only accelerates learning and innovation but also fosters professional growth and exposure to diverse AI challenges.

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

To thrive at OpenAI, professionals typically need a strong background in computer science, machine learning, and data analysis, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and cloud computing platforms is highly valued, along with research experience or relevant technical certifications. Strong problem-solving abilities, creativity, and effective teamwork and communication skills help individuals excel at OpenAI. These skills are critical to successfully developing and deploying innovative AI solutions in fast-paced, collaborative environments.

What is an OpenAI job?

An OpenAI job refers to a role within OpenAI, a leading artificial intelligence research lab focused on developing and promoting AI technologies. Jobs at OpenAI span various fields, including research, engineering, policy, and product development. Employees work on cutting-edge AI advancements, such as large language models and reinforcement learning, to ensure AI benefits humanity.

What are popular job titles related to Openai jobs in Reston, VA? For Openai jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Openai jobs in Reston, VA look for? The top searched job categories for Openai jobs in Reston, VA are:
Openai jobs near you
Infographic showing various Openai job openings in Reston, VA as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $62,635 per year, or $30.1 per hour.
AI Engineer

AI Engineer

Accenture Federal Services

Arlington, VA

Other

Posted 21 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

45th of 427 rated business services

Job description

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 modern Hub-and-Spoke architecture designed to accelerate enterprise AI adoption, support mission-critical applications, and enable robust AI governance.

You will be responsible for integrating AI solutions with DevSecOps, data engineering, platform engineering, and cybersecurity practices, ensuring seamless delivery and continuous monitoring of scalable AI-powered software. Your contributions will directly impact the deployment of agentic AI systems, orchestration frameworks, and operational workflows tailored to complex, real-world missions.

Key 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

Here's what you need:

  • 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

Nice to have:

  • 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

Eligibility requirements:

  • US Citizen 
  • An active TS/SCI federal security clearance is required

What Accenture Federal Services employees say

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