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Remote Google Artificial Intelligence Jobs in Virginia

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Remote Google Artificial Intelligence information

What is a remote Google artificial intelligence job?

Remote Google Artificial Intelligence jobs refer to roles at Google that focus on developing, implementing, or supporting AI technologies and can be performed from a remote location instead of a traditional office. These roles may include positions such as AI research scientist, machine learning engineer, data scientist, or AI product manager, all involved in advancing Google's artificial intelligence initiatives. Employees use cutting-edge tools and collaborate virtually with teams to solve complex problems, build AI models, and contribute to products like Google Search, Assistant, and Cloud AI services.

What are the key skills and qualifications needed to thrive as a remote Google artificial intelligence engineer?

To thrive as a Remote Google Artificial Intelligence Engineer, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience in AI development. Proficiency with programming languages like Python, TensorFlow, PyTorch, and experience with cloud platforms such as Google Cloud AI tools are essential. Strong problem-solving skills, effective communication, and the ability to collaborate remotely distinguish top performers in this role. These skills are crucial for developing scalable AI solutions, staying current with emerging technologies, and contributing effectively within distributed teams.

How does a remote Google artificial intelligence professional typically collaborate with global teams to deliver projects?

As a Remote Google Artificial Intelligence professional, you will frequently collaborate with cross-functional teams located around the world, including data scientists, product managers, and software engineers. Communication is primarily conducted through virtual meetings, cloud-based project management tools, and collaborative coding platforms. Maintaining clear documentation and proactive communication is essential to ensure alignment and progress. You’ll often contribute to brainstorming sessions, code reviews, and project updates, making strong remote collaboration skills vital for success in this role.

What is the difference between Remote Google Artificial Intelligence vs Remote Machine Learning Engineer?

AspectRemote Google Artificial IntelligenceRemote Machine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI frameworksDegree in Computer Science, Data Science, or related; proficiency in ML algorithms
Work EnvironmentCollaborates with AI research teams at Google or similar tech companiesDevelops and deploys ML models in various industries, often in tech or finance
Employer & Industry UsagePrimarily in large tech firms like Google, focusing on AI research and developmentAcross industries such as tech, finance, healthcare, focusing on ML model implementation

Remote Google Artificial Intelligence specialists focus on advanced AI research and development within large tech companies, often requiring deep theoretical knowledge. Remote Machine Learning Engineers implement ML models across diverse industries, emphasizing practical deployment. While both roles require strong technical skills, AI roles tend to be more research-oriented, whereas ML engineering is more application-focused.

What are the most commonly searched types of Google Artificial Intelligence jobs in Virginia?

The most popular types of Google Artificial Intelligence jobs in Virginia are:

What are popular job titles related to Remote Google Artificial Intelligence jobs in Virginia?

For Remote Google Artificial Intelligence jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Google Artificial Intelligence jobs in Virginia look for?

The top searched job categories for Remote Google Artificial Intelligence jobs in Virginia are:

What cities in Virginia are hiring for Remote Google Artificial Intelligence jobs?

Cities in Virginia with the most Remote Google Artificial Intelligence job openings:

Remote Google Artificial Intelligence jobs near you

Technical Advisor - Cloud, Application, Data & AI

Oran, Inc.

Herndon, VA • On-site, Remote

Part-time

Posted 23 days ago

Job description

Position: Technical Advisor
Employment Type: Part-Time / Hourly
Work Location: Remote
Engagement: Hourly / Consulting
Customer Focus: U.S. Federal Government
Position Overview
We are seeking an experienced Technical Advisor to provide part-time, senior-level technical guidance and solutioning support for our internal teams and Federal Government customer engagements.
The Technical Advisor will serve as a trusted technical resource responsible for developing and reviewing technical solutions, architectures, approaches, and responses across Cloud, Application, Data, Artificial Intelligence, Cybersecurity, and other emerging technology areas.
This is an advisory and solutioning-focused role. The ideal candidate should be able to quickly understand customer requirements, translate business and mission needs into practical technical solutions, and help teams develop compelling and technically sound approaches for Federal customers.
Key Responsibilities
  • Serve as an internal technical advisor and subject matter expert for Federal customer opportunities and projects.
  • Develop high-level and detailed technical solutions and solution architectures based on customer requirements.
  • Provide technical expertise across:
    • Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
    • Application Architecture & Modernization
    • Data Engineering, Data Platforms & Analytics
    • Artificial Intelligence (AI), Generative AI (GenAI) & Machine Learning
    • Application Programming Interfaces (APIs) and Microservices
    • Cybersecurity and Zero Trust
    • DevSecOps, Infrastructure as Code (IaC) and Cloud Automation
    • Containers, Kubernetes and Cloud-Native Architecture
    • Data & AI platforms, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI-enabled solutions
    • Other emerging and high-growth technologies relevant to Federal IT modernization.
  • Analyze Requests for Information (RFIs), Requests for Proposals (RFPs), Statements of Work (SOWs), Performance Work Statements (PWSs), and Statements of Objectives (SOOs) and translate requirements into technical approaches.
  • Develop technical solution concepts, architecture diagrams, technology stacks, implementation approaches, and solution narratives.
  • Support proposal solutioning, technical writing, and technical reviews.
  • Collaborate with business development, capture, proposal, recruiting, and delivery teams to develop technically competitive solutions.
  • Evaluate emerging technologies and recommend where they can provide value to Federal customers.
  • Review proposed technical approaches for feasibility, scalability, security, cost, and alignment with Federal requirements.
  • Provide technical mentorship and guidance to internal teams.
  • Participate in customer discussions, technical briefings, solution presentations, and architecture reviews when required.
  • Help identify technology partners, platforms, tools, and technical capabilities needed to support customer requirements.

Required Qualifications
  • 10+ years of progressive experience in technology, IT architecture, engineering, consulting, or technical solutioning.
  • Demonstrated experience developing technical solutions and architectures for complex enterprise environments.
  • Strong knowledge of at least two major cloud platforms, preferably AWS, Azure, and/or GCP.
  • Broad understanding of modern Application, Data, Cloud, AI, and Cybersecurity technologies.
  • Experience translating complex technical requirements into clear, actionable solution approaches.
  • Strong technical writing and presentation skills.
  • Experience supporting Federal Government customers, contracts, proposals, or solutioning efforts.
  • Ability to work independently in a part-time advisory capacity and provide expertise when needed.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience with Federal IT modernization and cloud transformation.
  • Experience with Enterprise Architecture, Cloud Architecture, Solution Architecture, or Technical Architecture.
  • Knowledge of Federal technology and security frameworks such as:
    • National Institute of Standards and Technology (NIST)
    • Federal Risk and Authorization Management Program (FedRAMP)
    • Federal Information Security Modernization Act (FISMA)
    • Zero Trust Architecture
    • NIST Cybersecurity Framework
  • Experience with Artificial Intelligence, Generative AI, Machine Learning, Large Language Models, Retrieval-Augmented Generation, AI Agents, or AI governance.
  • Experience with cloud-native technologies, Kubernetes, containers, Infrastructure as Code, and DevSecOps.
  • Experience supporting Requests for Proposals (RFPs), Requests for Information (RFIs), Sources Sought, and government technical responses.
  • Relevant certifications such as:
    • AWS Certified Solutions Architect
    • Microsoft Certified: Azure Solutions Architect Expert
    • Google Cloud Professional Cloud Architect
    • Certified Information Systems Security Professional (CISSP)
    • Certified Cloud Security Professional (CCSP)
    • TOGAF certification
    • Other relevant cloud, architecture, cybersecurity, data, or AI certifications.

Ideal Candidate
The ideal candidate is a technology generalist with deep expertise in architecture and solutioning rather than someone limited to a single technology stack.
You should be able to walk into a Federal customer requirement, understand the mission and technical challenges, and answer:
"What should we build, how should we build it, what technologies should we use, and why is this the right solution?"
The candidate should be comfortable moving between Cloud + Application + Data + AI + Security + Emerging Technologies and providing practical, commercially viable recommendations.
Engagement Details
  • Part-Time
  • Remote
  • Hourly Consulting Engagement
  • Flexible hours based on project and proposal requirements
  • Primarily internal advisory and Federal customer support
  • Opportunity to support multiple Federal technology initiatives and proposals

Apply