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Remote Artificial Intelligence Architect Jobs (NOW HIRING)

Vultr

Business Intelligence Architect

$125K - $135K/yr

... 500 stipend for remote office setup in first year + $400 each following year * Internet ... Own, and architect, and build internal datasets for business intelligence reporting * Manage ...

LMI

Artificial Intelligence Lead

This position is anticipated to be majority remote, but with the ability to travel and visit the ... Serve as the primary authority for AI architecture, research, and implementation * Define and ...

Advanced Automation Consulting

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Artificial Intelligence (AI) Solutions Consultant

Charleston, SC · Remote

$135K - $145K/yr

The position will contribute to AI architecture design, proof-of-concept initiatives, vendor ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related ...

New

LMI

Artificial Intelligence Lead

This position is anticipated to be majority remote, but with the ability to travel and visit the ... Serve as the primary authority for AI architecture, research, and implementation * Define and ...

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Remote Artificial Intelligence Architect information

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$115K

$126.3K

$155.5K

How much do remote artificial intelligence architect jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote artificial intelligence architect in the United States is $126,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What is a remote artificial intelligence architect?

Remote Artificial Intelligence Architects are professionals who design and oversee the implementation of AI solutions for organizations while working from a remote location. They are responsible for creating the overall architecture of AI systems, selecting appropriate technologies, and ensuring that AI solutions align with business goals. Their work often involves collaborating with data scientists, engineers, and stakeholders to build scalable and efficient AI models and platforms. Remote AI Architects leverage cloud technologies and remote collaboration tools to execute projects from anywhere, making them valuable assets in today's flexible work environment.

What is the difference between Remote Artificial Intelligence Architect vs Data Scientist?

AspectRemote Artificial Intelligence ArchitectData Scientist
CredentialsAdvanced degrees in AI, Computer Science, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDesigns AI systems, collaborates with engineering teams, often in tech or AI-focused companiesAnalyzes data, builds models, works across industries like finance, healthcare, tech
Industry UsagePrimarily in AI development, software engineering, and tech firmsAcross diverse sectors including finance, healthcare, marketing, and tech

While both roles require expertise in machine learning and data handling, the Remote Artificial Intelligence Architect focuses on designing and implementing AI systems, whereas the Data Scientist primarily analyzes data to extract insights and build predictive models.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence architect, and why are they important?

To thrive as a Remote Artificial Intelligence Architect, you need advanced expertise in AI/machine learning algorithms, deep learning frameworks, and a strong background in computer science or a related field, often supported by a relevant degree or certifications. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, Google Cloud), and version control systems is typically required. Strong problem-solving, communication, and project management skills help you collaborate effectively and lead distributed teams. These skills ensure you can architect scalable AI solutions, drive innovation, and deliver successful projects in a remote environment.

How does a remote artificial intelligence architect typically collaborate with cross-functional teams to implement AI solutions?

As a Remote Artificial Intelligence Architect, you will regularly coordinate with data scientists, software engineers, project managers, and business stakeholders to design and deploy AI-driven solutions. Collaboration often happens through virtual meetings, shared documentation, and project management tools to ensure everyone stays aligned despite working remotely. Effective communication is crucial, as you’ll need to translate complex AI concepts into actionable steps for diverse team members. This role requires balancing deep technical involvement with big-picture strategic planning, ensuring that AI architectures meet both technical and business objectives.
More about Remote Artificial Intelligence Architect jobs
What cities are hiring for Remote Artificial Intelligence Architect jobs? Cities with the most Remote Artificial Intelligence Architect job openings:
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Remote Artificial Intelligence Architect jobs near you
Infographic showing various Remote Artificial Intelligence Architect job openings in the United States as of July 2026, with employment types broken down into 5% Internship, 68% Full Time, 16% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,298 per year, or $60.7 per hour.

Artificial Intelligence Architect

M2S Group

New York, NY • On-site, Remote

Full-time

Posted 11 days ago

Job description

About the Role
We're hiring an AI Architect to define the technical foundation for all our AI/ML systems including architecture standards, platform decisions, and quality gates that let us deliver scalable, secure, and governed AI solutions tied directly to business outcomes. You'll sit at the intersection of engineering, data, and business strategy, designing the systems and setting the standards that accelerate AI adoption across the enterprise.
What You'll Do
  • Design the enterprise AI/ML architecture, including reference patterns and multi-entity / multi-tenant architectures with governed data boundaries
  • Evaluate and select AI platforms, frameworks, and cloud services
  • Establish technical standards for model development, testing, and deployment
  • Design agentic search and retrieval systems for enterprise knowledge grounding
  • Review and approve architecture for all AI use cases before they reach production
  • Define data architecture requirements for ML pipelines
  • Lead build vs. buy evaluations for AI tooling
  • Mentor technical team members and drive engineering excellence
  • Stay current on AI/ML technology trends and assess their relevance to our roadmap

Qualifications
  • 8+ years in software or data architecture, with 4+ years focused on ML systems
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and their ML services
  • Proven experience designing production ML pipelines at enterprise scale
  • Strong understanding of MLOps, model monitoring, and deployment patterns
  • Experience with both traditional ML and modern LLM/GenAI architectures
  • Familiarity with core enterprise infrastructure architecture

Skills
  • Languages: Python, SQL, and Scala for ML and data engineering
  • ML frameworks: PyTorch, TensorFlow, scikit-learn, and Hugging Face
  • MLOps: Docker, Kubernetes, CI/CD, MLflow, and model registries
  • Cloud & data: AWS, Azure, GCP, Spark, Airflow, and feature stores
  • LLM, GenAI & agentic search: RAG, fine-tuning, prompt engineering, vector databases, query planning, tool use, retrieval orchestration, and multi-step reasoning
  • Responsible AI: governance, model monitoring, and security by design
  • Solution mindset: design thinking, trade-off analysis, and pragmatic delivery

M2SP
*LI-MD1
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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