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Remote Desktop Support Engineer Jobs in Houston, TX

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This remote position requires strong substation physical design experience, leadership capabilities, and a proven background supporting electric utility or consulting engineering environments. The ...

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While this is a full remote position, there is preference for candidates located in the Northern California area. Main Accountabilities: * Lead and support engineering design activities for new and ...

While this is a full remote position, there is preference for candidates located in the Northern California area. Main Accountabilities: * Lead and support engineering design activities for new and ...

While this is a full remote position, there is preference for candidates located in the Northern California area. Main Accountabilities: * Lead and support engineering design activities for new and ...

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Remote Desktop Support Engineer information

See Houston, TX salary details

$9

$25

$43

How much do remote desktop support engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote desktop support engineer in Houston, TX is $25.78, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $29.38 per hour, depending on experience, location, and employer.

What is the difference between Remote Desktop Support Engineer vs Help Desk Technician?

AspectRemote Desktop Support EngineerHelp Desk Technician
CertificationsCompTIA A+, Microsoft Certified Professional (MCP)CompTIA A+, HDI Support Center Analyst
Work EnvironmentRemote or on-site technical support, troubleshooting user issuesHelp desk, call center, or on-site support roles
Industry UsageIT services, tech companies, enterprise supportIT support, customer service, internal help desks

Remote Desktop Support Engineers focus on troubleshooting and resolving technical issues remotely, often requiring specific certifications and technical skills. Help Desk Technicians provide general user support, often handling a broader range of issues with less emphasis on remote troubleshooting. Both roles are essential in IT support but differ in scope and technical depth.

What does a remote desktop support engineer do?

As a remote desktop support engineer, your job is to work from home to install, troubleshoot, and configure software for your company’s computers. Remote desktop support engineers may also guide others through installing hardware, but the remote nature of this job limits your ability to install it yourself. Desktop support engineers frequently apply updates and security fixes, teach users how to use new software, respond to emergency problems, and use a variety of techniques and systems to resolve problems. You often use the telephone, email, and live chat software to communicate with other employees, and you may use remote access software to control a distant computer or server directly.

What are the key skills and qualifications needed to thrive as a remote desktop support engineer, and why are they important?

To thrive as a Remote Desktop Support Engineer, you need expertise in troubleshooting Windows and Mac operating systems, networking fundamentals, and typically an associate degree or relevant certifications like CompTIA A+ or Microsoft Certified: Modern Desktop Administrator Associate. Familiarity with remote access tools (such as TeamViewer or Remote Desktop Protocol), ticketing systems, and security protocols is essential. Excellent communication, patience, and problem-solving abilities help in understanding user issues and delivering effective remote support. These skills and qualities ensure efficient incident resolution, minimize downtime, and maintain a positive user experience in distributed work environments.

What does a remote desktop support engineer do?

A Remote Desktop Support Engineer provides technical assistance to users by troubleshooting and resolving computer and software issues remotely. They use remote access tools to diagnose problems, install or configure applications, and guide users through solutions. These professionals ensure that systems are running efficiently and help maintain network security. Their work is essential for organizations with distributed teams or employees working from home.

What are some common challenges a remote desktop support engineer faces when troubleshooting user issues remotely?

Remote Desktop Support Engineers often encounter challenges such as limited visibility into the user's environment, communication barriers, and varying technical proficiency among end-users. Troubleshooting remotely requires clear instructions and patience, as engineers may need to guide users through steps without being physically present. Additionally, maintaining secure connections and managing multiple support requests simultaneously are typical hurdles. Success in this role relies on strong communication skills, adaptability, and familiarity with remote support tools.
What are the most commonly searched types of Desktop Support Engineer jobs in Houston, TX? The most popular types of Desktop Support Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Desktop Support Engineer jobs in Houston, TX? For Remote Desktop Support Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Desktop Support Engineer jobs in Houston, TX look for? The top searched job categories for Remote Desktop Support Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Desktop Support Engineer jobs? Cities near Houston, TX with the most Remote Desktop Support Engineer job openings:
Infographic showing various Remote Desktop Support Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $53,622 per year, or $25.8 per hour.

AI Platform Engineer

Vallen

Houston, TX • On-site, Remote

Full-time

Posted 19 days ago


Job description

Position Summary:
Vallen Distribution is building a governed, production-grade AI capability on an Azure-first, Databricks-centered architecture. This is not an advisory role - it is a hands-on builder position with broad ownership across the AI layer.
The AI Platform Engineer will own the Databricks AI/ML platform layer, drive enterprise AI governance, review and remediate shadow AI solutions, and directly deliver automation use cases with business teams. You will be the internal AI expert for the organization - the first call for departments exploring automation and the technical authority on what gets built, how, and where data flows.
This is a greenfield opportunity with real scope and visibility. You'll work directly with the SVP of Data & Technology Innovation and have immediate impact on a program that is active and growing today.
Core Responsibilities
Lakehouse AI Layer (Databricks) - ~35%
  • Own the AI/ML layer on Databricks: feature stores, MLflow experiment tracking and model registry, and RAG/prompt architectural standards
  • Define and enforce prompt engineering standards and LLM integration patterns across internal tools
  • Partner with Data Engineering to design data pipelines that feed AI/ML use cases from the Unity Catalog lakehouse
  • Evaluate and implement agentic frameworks (Claude API, Databricks AI agents) for internal automation

Automation Delivery - ~25%
  • Directly build and deliver 2-3 automation use cases per year with business teams (HR, Legal, customer service, operations)
  • Own full delivery lifecycle: scoping, design, build, testing, and handoff to platform operations
  • Produce well-documented, governed solutions - not one-off scripts

AI Governance & Shadow Solution Review - ~20%
  • Serve as the first-filter reviewer for all AI tools and platforms proposed for use at Vallen
  • Partner with Security and Infrastructure to assess data classification risk, vendor posture, and integration risk before production deployment
  • Review user-built solutions (Claude Desktop, Copilot, Cowork, and similar tools) and determine when a productivity workflow has crossed into enterprise scope - then lead the governed rebuild
  • Maintain Vallen's enterprise AI acceptable use policy, data classification guardrails, and platform-tier standards

Use Case Evangelism & Business Partnering - ~20%
  • Embed with departments to surface and prioritize automation opportunities
  • Maintain a scored use case backlog; facilitate structured discovery sessions with business stakeholders
  • Serve as the internal AI resource teams engage before going external

Job Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Experience in AI/ML engineering, data engineering, or a closely related technical role
  • Hands-on experience with Databricks - MLflow, notebooks, Unity Catalog, and Python/SQL workflows; or equivalent lakehouse platform experience with demonstrated ability to ramp quickly
  • Practical experience building with LLMs: prompt engineering, RAG pipelines, or API integration- production or project-level experience counts
  • Strong Python skills; ability to own full solution delivery from prototype to production
  • Solid grounding in Azure: Azure OpenAI, Azure Data Lake Storage, Azure Key Vault, and core networking/security concepts
  • Demonstrated ability to work across technical and non-technical stakeholders - you can explain what you're building and why it matters
  • Experience reviewing or documenting AI/ML solutions for risk, data sensitivity, or governance considerations

Preferred Qualifications:
  • Experience in distribution, supply chain, or industrial B2B environments
  • Familiarity with agentic frameworks: Databricks AI Agent Framework, LangChain, AutoGen
  • Exposure to enterprise AI governance concepts: acceptable use policies, data classification tiers, model risk review
  • Experience with Azure DevOps (ADO), CI/CD pipelines)
  • Familiarity with Power BI, Databricks Genie, or other BI/AI consumption layers
  • Working knowledge of MDM, ERP data structures, or multi-system data environments

Work Environment: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.):
  • Long periods of time working on a computer and performing repetitive key-boarding activities.

Physical Demands: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.):
  • While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to sit. The employee is occasionally required to stand and walk. The employee may be required to occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus.

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