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Open Ai Jobs in Reston, VA (NOW HIRING)

Experience with JSON, Java, JavaScript, SharePoint, XML, VBAs, Oracle, MongoDB, Solr, SQL, Open AI, or other AI technologies Clearance Applicants selected will be subject to a security investigation ...

Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts. * Familiarity with model evaluation frameworks, fine-tuning ...

AI Research Scientist

Leesburg, VA · On-site

$150 - $200/hr

Open-source contributions to widely used ML libraries * Experience with reinforcement learning ... AI productivity tools and training provided at no cost to employees * 401(k) with generous company ...

Technical Lead

Washington, DC · On-site

$112K - $257K/yr

Experience in Node.js with AI technologies such as Typescript, SQL, PostgreSQL, Redis, ElasticSearch, JSON, Java, Java Script, SharePoint, XML, VBAs, Oracle, MongoDB, Solr, SQL, or Open AI * Ability ...

Technical Lead

Washington, DC · On-site

$112K - $257K/yr

Experience in Node.js with AI technologies such as Typescript, SQL, PostgreSQL, Redis, ElasticSearch, JSON, Java, Java Script, SharePoint, XML, VBAs, Oracle, MongoDB, Solr, SQL, or Open AI * Ability ...

Technical Lead

Washington, DC · On-site

$150 - $200/hr

Experience in Node.js with AI technologies such as Typescript, SQL, PostgreSQL, Redis, ElasticSearch, JSON, Java, Java Script, SharePoint, XML, VBAs, Oracle, MongoDB, Solr, SQL, or Open AI * Ability ...

Technical Lead

Reston, VA

$112K - $257K/yr

Experience in Node.js with AI technologies such as Typescript, SQL, PostgreSQL, Redis, ElasticSearch, JSON, Java, Java Script, SharePoint, XML, VBAs, Oracle, MongoDB, Solr, SQL, or Open AI * Ability ...

Showing results 41-60

Open Ai information

See Reston, VA salary details

$37

$68

$121

How much do open ai jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for open ai in Reston, VA is $68.43, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $104.04 per hour, depending on experience, location, and employer.

What is OpenAI and what does the company do?

OpenAI is an artificial intelligence research organization that focuses on developing and promoting friendly AI for the benefit of humanity. The company is known for creating advanced AI models such as GPT (Generative Pre-trained Transformer) and DALL-E, which are used in natural language processing, image generation, and other AI applications. OpenAI conducts research, builds tools, and provides API access to its models for businesses and developers. Its mission is to ensure that artificial general intelligence (AGI) benefits everyone and to lead the way in AI safety and ethics.

What are the key skills and qualifications needed to thrive as an AI research scientist, and why are they important?

To thrive as an AI Research Scientist, you need a strong foundation in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms and version control systems is essential. Creative problem-solving, strong communication, and the ability to collaborate within interdisciplinary teams are standout soft skills. These skills enable the development of innovative AI models and solutions, driving advancements and practical applications in artificial intelligence.

What are some common challenges faced by professionals working in AI research and development roles at companies like OpenAI?

Professionals in AI research and development roles often encounter challenges such as keeping up with the rapidly evolving landscape of machine learning techniques, ensuring ethical considerations are incorporated into their work, and collaborating effectively with multidisciplinary teams. Additionally, balancing the push for innovative solutions with the need for robust, reliable models can be demanding. Regularly communicating complex technical findings to non-technical stakeholders and contributing to open-source projects are also key aspects of the role.

What is the difference between Open Ai vs Data Scientist?

AspectOpen AiData Scientist
Required CredentialsTypically advanced degrees in AI, machine learning, or related fields; experience with AI frameworksDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentResearch labs, tech companies, AI startups; focus on AI model developmentCorporate, consulting, or research settings; focus on data analysis and insights
Industry UsageAI research, machine learning development, AI product creationData analysis, predictive modeling, business insights
Common Search/ComparisonOpen Ai vs Data Scientist

Open Ai professionals focus on developing and researching artificial intelligence models, often working in research labs or tech companies. Data Scientists analyze data to generate insights, build predictive models, and support business decisions. While both roles require strong technical skills, Open Ai roles are more specialized in AI research and model creation, whereas Data Scientists focus on data analysis and interpretation.

How do I get a job with OpenAI?

To get a job with OpenAI, candidates should review current openings on their careers page, ensure they meet the required skills such as expertise in AI, machine learning, or software engineering, and submit a tailored application highlighting relevant experience. Strong technical skills, a background in research or development, and familiarity with AI tools are often preferred. The hiring process may include technical interviews and assessments.

What are the most commonly searched types of Open Ai jobs in Reston, VA?

The most popular types of Open Ai jobs in Reston, VA are:

What cities near Reston, VA are hiring for Open Ai jobs?

Cities near Reston, VA with the most Open Ai job openings:

Infographic showing various Open Ai job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $142,331 per year, or $68.4 per hour.

Cyber Full-Stack Technical Software Engineer

Deloitte

Mclean, VA • On-site

Full-time

Re-posted 13 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.


Recruiting for this role ends on 12/31/2026.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 

Work you will do:

  • Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
  • Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  • Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
  • Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  • Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
  • Demonstrating accountability and contributions to the successful realization of client goals

Required Qualifications

We require 3-5 years of experience for all skill areas below:

  • Hands-on experience in full stack software development across frontend and backend technologies.
  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
  • Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
  • Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
  • Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
  • Experience building and consuming REST APIs and microservices.
  • Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
  • Experience using Git and development lifecycle tools such as Azure DevOps.
  • Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
  • Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
  • Experience working in Agile/Scrum delivery environments.
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Experience with Docker, container-based application development, and serverless architectures.
  • Experience with secure development practices or cybersecurity-focused application development.
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
  • Experience contributing to project planning, estimation, or risk tracking.
  • Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
  • Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
  • Strong written and verbal communication skills in cross-functional team environments.
  • Cloud certification in AWS, Azure, or GCP.
  • Familiarity with OpenSearch or Elasticsearch.
  • Exposure to graph databases such as Neo4j or Memgraph.
  • Familiarity with build tools such as Maven or Gradle.
  • Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
  • Familiarity with DevOps or DevSecOps practices.
  • Knowledge of web security, GitOps, and Kubernetes customization.
  • Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCtBEngg

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.


Recruiting for this role ends on 12/31/2026.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

You will be responsible for individually delivering high quality products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. 

Work you will do:

  • Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
  • Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  • Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
  • Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  • Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
  • Demonstrating accountability and contributions to the successful realization of client goals

Required Qualifications

We require 3-5 years of experience for all skill areas below:

  • Hands-on experience in full stack software development across frontend and backend technologies.
  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP.
  • Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript.
  • Experience with frontend development using Angular, React, or Next.js, and with JavaScript, TypeScript, HTML5, and CSS3 in production environments.
  • Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot).
  • Experience building and consuming REST APIs and microservices.
  • Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
  • Experience using Git and development lifecycle tools such as Azure DevOps.
  • Experience with unit testing frameworks such as JUnit, Mockito, or equivalent, and with automated testing and CI/CD pipeline implementation.
  • Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
  • Experience working in Agile/Scrum delivery environments.
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor's degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field.
  • Limited immigration sponsorship may be available

Preferred Qualifications

  • Experience with Docker, container-based application development, and serverless architectures.
  • Experience with secure development practices or cybersecurity-focused application development.
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • Experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
  • Experience contributing to project planning, estimation, or risk tracking.
  • Experience mentoring junior or mid-level developers, leading code reviews, and providing development feedback.
  • Experience partnering with product managers, designers, and business stakeholders to translate requirements into technical solutions.
  • Strong written and verbal communication skills in cross-functional team environments.
  • Cloud certification in AWS, Azure, or GCP.
  • Familiarity with OpenSearch or Elasticsearch.
  • Exposure to graph databases such as Neo4j or Memgraph.
  • Familiarity with build tools such as Maven or Gradle.
  • Experience with Bootstrap, jQuery, or JSP in legacy or mixed-technology environments.
  • Familiarity with DevOps or DevSecOps practices.
  • Knowledge of web security, GitOps, and Kubernetes customization.
  • Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCtBEngg

Education:Bachelor's DegreeEmployment Type:

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