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Remote Ai Architect Jobs (NOW HIRING)

Define and promote agentic AI architecture patterns, including multi-agent systems, tool ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

$58.25 - $76.75/hr

Define and promote agentic AI architecture patterns, including multi-agent systems, tool ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Sr. AI Architect

Chicago, IL ยท On-site +1

$180K - $225K/yr

Remote (US or Canada) Rate: $180,000-$225,000 USD (rates vary in Canada) Position Overview Cyclotron's AI Engineering team is hiring a Senior AI Architect to lead the design and delivery of ...

Sr. AI Architect

Chicago, IL ยท Remote

$180K - $225K/yr

Remote (US or Canada) Rate: $180,000-$225,000 USD (rates vary in Canada) Position Overview Cyclotron's AI Engineering team is hiring a Senior AI Architect to lead the design and delivery of ...

Agentic AI Architect

Houston, TX ยท On-site +1

$60.25 - $79.25/hr

Agentic AI Solution Architect Location ... Dallas or Houston, TX (hybrid: 2 days onsite / 3 days remote) Duration: Contract to hire or Direct ...

SAP AI Architect

Plano, TX ยท On-site +1

$182K - $252K/yr

SAP AI Solution Architect (Director) Key Responsibilities: * Act as a thought leader, technical ... The starting pay range for this remote role is $182,115.00-$252,938.00. This range reflects the ...

... AI architecture, along with a passion for building intelligent automation solutions that solve real business problems. Job Title: AI Solutions Developer Location: Boise, ID (Remote) Duration: 12 ...

SAP AI Architect

Plano, TX ยท On-site +1

$182K - $252K/yr

SAP AI Solution Architect (Director) Key Responsibilities: * Act as a thought leader, technical ... The starting pay range for this remote role is $182,115.00-$252,938.00. This range reflects the ...

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Remote Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do remote ai architect jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote ai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Architect, and why are they important?

To thrive as a Remote AI Architect, you need extensive experience in machine learning, deep learning, data modeling, and a strong background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), programming languages like Python, and relevant certifications (e.g., AWS Certified Machine Learning) is highly valuable. Strong problem-solving, collaboration, and communication skills are essential for designing scalable AI solutions and working with distributed teams. These skills ensure the effective development and deployment of AI systems that meet organizational goals while enabling seamless teamwork across remote environments.

How does a Remote AI Architect typically collaborate with cross-functional teams in a distributed work environment?

As a Remote AI Architect, you will frequently collaborate with data scientists, software engineers, and product managers through virtual meetings and shared documentation platforms. Effective communication and clear documentation are essential to align project goals, define system requirements, and review AI model designs. You may also participate in regular code reviews and brainstorming sessions, ensuring that AI solutions are seamlessly integrated into broader business applications. Adapting to asynchronous workflows and being proactive in providing technical guidance are key to success in this remote, team-oriented setting.

What is the difference between Remote Ai Architect vs Data Scientist?

AspectRemote Ai ArchitectData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; programming skills in Python/R
Work EnvironmentCollaborates with AI teams, software engineers, and product managers on AI solutionsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageUsed in AI development, machine learning projects, and AI-driven product designApplied across industries for data analysis, predictive modeling, and insights generation

While both roles require strong technical skills and familiarity with data and algorithms, Remote Ai Architects focus on designing and implementing AI systems, whereas Data Scientists analyze data to inform business strategies. The roles often overlap but serve different primary functions within AI and data-driven projects.

What are Remote AI Architects?

Remote AI Architects are professionals who design, develop, and oversee artificial intelligence solutions for organizations while working from a remote location. They collaborate with teams to create AI strategies, select appropriate technologies, and ensure scalable, robust AI system architectures. Their responsibilities include planning the integration of AI tools, assessing system requirements, and guiding development teams, all without needing to be physically present in an office. This role typically requires advanced knowledge in machine learning, deep learning, and cloud platforms, along with strong communication and project management skills.
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Cloud Data & AI Architect - Enterprise Platforms - AIRLHV

NavitasPartners

Los Angeles, CA โ€ข On-site, Remote

$40/hr

Full-time

Posted 12 days ago


Job description

Cloud Data & AI Architect โ€“ Enterprise Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are seeking a Cloud Data & AI Architect to lead the design and delivery of enterprise-scale data and AI platforms. This role focuses on building scalable cloud ecosystems that enable advanced analytics and AI-driven innovation.

Key Responsibilities:

  • Architect and implement modern cloud data and AI platforms
  • Define architecture standards, governance models, and best practices
  • Collaborate with cross-functional teams to deliver scalable solutions
  • Ensure performance, reliability, and cost optimization

Required Skills:

  • Strong experience in cloud architecture (AWS, Azure, GCP)
  • Expertise in designing large-scale data platforms
  • Hands-on implementation experience in distributed systems

Nice to Have / Coverage:

  • Data Engineering: Databricks, Snowflake, Azure Synapse, BigQuery
  • ML/AI Engineering: Python, PyTorch, MLOps frameworks
  • GenAI & Agentic AI: Experience with LangChain and LLM-based systems
  • AI Governance: Responsible AI, compliance, and regulatory frameworks

For more details reach at resumes@navitassols.com.