ZipRecruiter

Log In

2

Remote Ai Automation Jobs in Spring, TX (NOW HIRING)

VisionEdge AI Media

Be Seen First

Remote Sales Representative (100% Commission-Based)

Houston, TX ยท Remote

$75K - $120K/yr

Remote Sales Representative (100% Commission-Based / Uncapped Earnings) Company: VisionEdge AI ... Comfortable speaking about AI infrastructure, CRMs, automation tools, and explaining technical ...

3E

Director, Customer Implementations

Houston, TX ยท Remote

$150K - $165K/yr

This position supports remote work in EST, and candidates should be based near one of our U.S. East ... Identify opportunities to use AI, automation, workflow tools, and digital workers to reduce manual ...

YO AI Labs

SolidWorks Expert - Remote

Houston, TX ยท Remote

$40 - $130/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or ...

YO AI Labs

Autodesk Inventor Expert - Remote

Houston, TX ยท On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

YO AI Labs

Autodesk Inventor Expert - Remote

Houston, TX ยท On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

Sargent & Lundy

Senior Power Systems Engineer 2

Houston, TX ยท On-site +1

$100K - $152K/yr

... working remote from home. We are seeking a highly skilled and experienced Senior Electrical ... AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to lead ...

next page

Showing results 1-20

All JobsAi Automation JobsRemote Ai Automation JobsRemote Ai Automation Jobs in Spring, TX

Remote Ai Automation information

See Spring, TX salary details

$32.9K

$95.3K

$145.1K

How much do remote ai automation jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote ai automation in Spring, TX is $95,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $109,900.00 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 popular job titles related to Remote Ai Automation jobs in Spring, TX?

For Remote Ai Automation jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Ai Automation jobs in Spring, TX look for?

The top searched job categories for Remote Ai Automation jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Ai Automation jobs?

Cities near Spring, TX with the most Remote Ai Automation job openings:

Remote Ai Automation jobs near you
Infographic showing various Remote Ai Automation job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,331 per year, or $45.8 per hour.

Platform Engineer - AI & Automation Platform

Inizio Partners

Houston, TX โ€ข Remote

Full-time

Posted 29 days ago

Job description

Role: Platform Engineer – AI & Automation Platform

Location: Remote

Type: Contract (Long term)

Role Summary: We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.

Key Responsibilities

  • Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
  • Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
  • Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
  • Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
  • Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
  • Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
  • Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
  • Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
  • Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
  • Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
  • Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
  • Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
  • Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
  • Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services

Required Qualifications

  • 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
  • Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
  • Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
  • Experience with infrastructure automation, deployment scripting, environment management, and configuration management
  • Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
  • Experience supporting cloud-native and hybrid architectures across Azure and AWS
  • Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
  • Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
  • Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
  • Experience supporting agile product delivery teams in large enterprise environments
  • Strong troubleshooting, automation, and systems thinking capabilities

Preferred Qualifications

  • Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
  • Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
  • Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
  • Experience with containerization, serverless architectures, and modern cloud platform services
  • Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
  • Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments

Core Competencies

  • Microsoft Power Platform
  • Dataverse
  • Dynamics 365 Finance & Operations
  • Azure Services
  • AWS Services
  • Azure DevOps
  • GitHub
  • REST APIs & Integrations
  • Power Platform Copilot Studio
  • M365 Copilot
  • Azure AI Foundry
  • CI/CD & Automation Tooling
  • Observability & Monitoring Platforms
  • Automated Testing & Quality Engineering Tooling