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Remote Ai Automation Jobs in Boca Raton, FL (NOW HIRING)

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... Contribute to initiatives involving Mosaic, AI Agents, and Model Context Protocol (MCP). Required ...

Remote or onsite at a ShipMonk office -- Fort Lauderdale, FL; Fort Worth, TX; Louisville, KY ... Proprietary technology: our AI-powered platform gives merchants a real-time, unified view of ...

Showing results 41-58

Remote Ai Automation information

See Boca Raton, FL salary details

$35.1K

$101.7K

$154.7K

How much do remote ai automation jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote ai automation in Boca Raton, FL is $101,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $117,200.00 per year, depending on experience, location, and employer.

What is a remote AI automation?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote AI automation specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Ai Automation jobs in Boca Raton, FL?

The most popular types of Ai Automation jobs in Boca Raton, FL are:

What job categories do people searching Remote Ai Automation jobs in Boca Raton, FL look for?

The top searched job categories for Remote Ai Automation jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Remote Ai Automation jobs?

Cities near Boca Raton, FL with the most Remote Ai Automation job openings:

Infographic showing various Remote Ai Automation job openings in Boca Raton, FL as of September 2026, with employment types broken down into 10% Internship, 79% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,659 per year, or $48.9 per hour.

MicroStrategy Architect

Boca Raton, FL โ€ข Remote

Data Meaning
IT Servicesย โ€ขย 51 - 200 employees

Temporary

Re-posted just now


Job description

MicroStrategy Architect

Location: US - Remote
Position type: temporary - TDB 

Position Summary

We are looking for a highly skilled MicroStrategy Architect to lead the design, development, optimization, and governance of enterprise BI solutions using the MicroStrategy platform.

This role requires strong expertise in BI architecture, data modeling, dashboard development, performance optimization, and enterprise reporting environments. The ideal candidate will work closely with business stakeholders, data engineering teams, and leadership to deliver scalable, high-performing analytics solutions aligned with business goals.

Key Responsibilities 

  • Design and architect enterprise-level BI solutions using MicroStrategy.
  • Develop and maintain MicroStrategy metadata, schemas, cubes, reports, dossiers, and dashboards.
  • Define BI architecture standards, best practices, and governance processes.
  • Optimize report performance, SQL generation, caching, and overall platform efficiency.
  • Collaborate with Data Engineers and Data Architects on data warehouse and semantic layer design.
  • Support enterprise reporting environments, security configurations, and user access management.
  • Lead troubleshooting and root cause analysis for platform, reporting, and performance issues.
  • Participate in requirements-gathering sessions with business and technical stakeholders.
  • Ensure the scalability, maintainability, and reliability of BI solutions.
  • Mentor developers and provide technical leadership to the BI team.
  • Design and support analytics solutions involving large and complex datasets.
  • Contribute to initiatives involving Mosaic, AI Agents, and Model Context Protocol (MCP).

Required Qualifications 

  • 5+ years of experience working with MicroStrategy.
  • Strong experience with MicroStrategy architecture, Intelligence Server, and platform administration.
  • Hands-on experience with:
    • Dossiers
    • Intelligent Cubes
    • Schema Objects
    • Report Services
    • Attributes, Facts, Metrics, and Transformations
  • Experience working with Mosaic.
  • Experience with AI Agents and Model Context Protocol (MCP).
  • Experience designing, processing, and optimizing solutions involving large datasets.
  • Strong experience debugging and troubleshooting performance and scalability issues.
  • Strong SQL skills and understanding of relational databases.
  • Experience with data warehousing concepts and dimensional modeling.
  • Strong understanding of BI governance and enterprise analytics environments.
  • Ability to communicate effectively with both technical and business teams.

Preferred Qualifications 

  • Experience with the MicroStrategy SDK or other SDK-based integrations is preferred but not required.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience integrating MicroStrategy with Snowflake, Databricks, or other modern cloud data platforms.
  • Knowledge of ETL/ELT processes and data pipelines.
  • Previous experience in enterprise or consulting environments.
  • MicroStrategy certifications are a plus. 

Nice to Have 

  • Experience with other BI tools, such as Power BI, Tableau, or Looker.
  • Exposure to Python or other scripting languages for automation.
  • Experience with DevOps and CI/CD practices for BI deployments.

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