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Openai Jobs in Virginia (NOW HIRING)

Bespoketechinc

AI Data Pipeline Engineer

Reston, VA · On-site

$120 - $150/hr

OpenAI Codex Desired Skills/Capabilities: * Oracle Cloud Infrastructure (OCI) * Oracle AI Database 26ai * Oracle Exadata and/or OCI Autonomous AI Database Service on Exadata * AI-enabling data in ...

New

Doist

Data Scientist - NLP / Generative AI

Arlington, VA · On-site

$150 - $190/hr

Experience with cloud‑based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure OpenAI, or GCP Vertex AI). * Graduate degree (MS or PhD) in Computer Science, Computational Linguistics ...

New

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures . * Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud ...

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How much do openai jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for openai in Virginia is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $42.40 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive in the OpenAI position?

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 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.

Does OpenAI hire remote workers?

OpenAI offers remote work opportunities for certain roles, especially in engineering, research, and support functions. Candidates should have strong communication skills and relevant technical expertise, and remote positions may require regular virtual collaboration and adherence to company policies. Availability of remote work depends on the specific role and team needs.

How can I get a job in OpenAI?

To get a job at OpenAI, candidates should review current openings on the company's careers page, ensure they meet the required skills such as expertise in machine learning, AI, or software engineering, and submit a tailored application highlighting relevant experience. Strong technical skills, a background in AI research or development, and familiarity with tools like Python and deep learning frameworks are often preferred. Networking and staying updated on OpenAI's projects can also improve chances of success.

What are the most commonly searched types of Openai jobs in Virginia?

The most popular types of Openai jobs in Virginia are:

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For Openai jobs in Virginia, the most frequently searched job titles are:

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What cities in Virginia are hiring for Openai jobs?

Cities in Virginia with the most Openai job openings:

Openai jobs near you
Infographic showing various Openai job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $59,689 per year, or $28.7 per hour.

Senior AI/ML & Data Engineer

Accenture Federal Services

Chantilly, VA • On-site

$109K - $148K/yr

Full-time

Re-posted 20 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 495 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance its operations through technology and innovation. They are seeking a Senior AI/ML and Data Engineer to develop and maintain advanced AI solutions for federal clients, ensuring the delivery of reliable and impactful AI systems.
Responsibilities:
• Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems.
• Build data preprocessing, training, fine tuning, inference, and evaluation workflows.
• Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace).
• Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection.
• Shape AI system design decisions including vector DB selection, embedding strategies, prompt architecture, and model selection.
• Define target state architectures for LLM enabled applications, AI microservices, RAG pipelines, and knowledge retrieval systems.
• Design, build, and maintain scalable automated data pipelines (ETL/ELT) to support both batch and real-time data processing.
• Architect data lakes and warehouses (e.g., Snowflake, Databricks, BigQuery) to ensure high availability and performance for ML workflows.
• Implement rigorous data quality checks and validation frameworks to ensure 'garbage-in, garbage-out' never applies to our models.
• Work closely with program leadership, technical SMEs, and mission stakeholders to define requirements and AI roadmaps.
• Translate business problems into technical AI solutions and communicate tradeoffs to mixed audiences.
• Produce architecture diagrams, interface specifications, deployment patterns, and integration plans.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or related field.
• 5+ years of experience in one or more of the following areas: AI/ML engineering, cloud-native development, or data engineering.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Hands on experience with LLM development (OpenAI, Anthropic, Bedrock, Azure OpenAI, HuggingFace Transformers).
• Experience architecting ML pipelines using AWS, Azure, or GCP.
• Familiarity with DevSecOps and IaC tools (Terraform, CloudFormation, Jenkins, GitLab, etc.).
• Experience implementing microservices, APIs, and containerized workloads (Docker, Kubernetes, ECS/EKS/AKS).
• Active Top Secret (TS) security clearance is required; and must be able and willing to upgrade to TS/SCI with Poly.
Preferred:
• Experience building RAG pipelines with vector databases (Pinecone, FAISS, Weaviate, Milvus).
• Experience designing agentic workflows and multi agent AI systems.
• Experience with graph databases, knowledge graphs, or semantic search.
• Certifications such as AWS Architect, AWS ML Specialty, Azure AI Engineer, Security+.
• Ability to translate complex technical concepts for non-technical audiences.
• Strong problem-solving abilities with a product focused mindset.
• Strong communication and client facing consulting skills.
• Ability to work across cross-functional teams in a fast-paced environment.
• Understanding of security frameworks (FedRAMP, NIST 800 53, Zero Trust) for ML 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.

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