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

Huntington

Enterprise Architect (IT)

Houston, TX · On-site +1

$66 - $85/hr

Help build AI governance practices for responsible AI adoption, AI governance, and AI Risk ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Enterprise Architect (IT)

Houston, TX · On-site +1

$102K - $208K/yr

Support architecture and AI governance through standards, principles, decision criteria, guardrails ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Initio Capital

Data Governance Analyst

Houston, TX · Remote

... AI, operations, market research, and growth-focused workstreams. THE ROLE As a Data Governance ... This is a remote, flexible role for candidates who are analytical, commercially curious, and ...

Huntington

Application Architect (IT)

Houston, TX · On-site +1

$70K - $140K/yr

Familiarity with AI governance, model risk considerations, responsible AI principles, data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Application Architect (IT)

Houston, TX · On-site +1

Familiarity with AI governance, model risk considerations, responsible AI principles, data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

3E

Manager, Security and Trust Engineering

Houston, TX · Remote

$160K - $175K/yr

This position supports remote work, preferably in EST or CST. What You'll Do As the AI Security ... The goal is to turn security, AI governance, assurance, identity, and vulnerability work into ...

Deloitte

System Test and Validation Lead

Houston, TX · On-site +1

... AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems For individuals assigned and/or hired to work in a remote role ...

Deloitte

System Test and Validation Lead

Houston, TX · On-site +1

... AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems For individuals assigned and/or hired to work in a remote role ...

Deloitte

System Test and Validation Lead

Houston, TX · On-site +1

... AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems For individuals assigned and/or hired to work in a remote role ...

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Remote Ai Governance information

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How much do remote ai governance jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote ai governance in Spring, TX is $60.38, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $71.68 per hour, depending on experience, location, and employer.

What is remote AI governance?

Remote AI Governance refers to the frameworks, policies, and processes used to oversee and ensure the responsible development, deployment, and monitoring of artificial intelligence systems from a remote or distributed setting. Professionals in this field work to guarantee that AI technologies adhere to ethical, legal, and organizational standards, even when teams are not physically co-located. This role often involves risk assessment, compliance monitoring, and the creation of guidelines to ensure transparency, fairness, and accountability in AI systems.

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

Remote AI governance professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication on complex ethical standards, and staying updated on evolving regulations. To address these, it's helpful to establish regular check-ins, use collaborative tools for documentation and decision-making, and participate in ongoing training or industry forums. Proactively building relationships with legal, technical, and business stakeholders also helps in aligning governance policies and ensuring responsible AI deployment.

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

To thrive as a Remote AI Governance professional, you need a solid understanding of AI ethics, regulatory frameworks, risk management, and data privacy, often supported by degrees in law, computer science, or data governance. Familiarity with tools such as AI auditing platforms, compliance management systems, and certifications like CIPP or ISO/IEC 27001 is highly valuable. Strong analytical thinking, effective communication, and the ability to collaborate across technical and non-technical teams set top candidates apart. These competencies are crucial to ensure responsible AI deployment, regulatory compliance, and organizational trust in remote work environments.

What is the difference between Remote Ai Governance vs Remote AI Ethics Specialist?

AspectRemote Ai GovernanceRemote AI Ethics Specialist
Required CredentialsAI, data science, or policy certifications; knowledge of AI regulationsEthics, philosophy, or law certifications; understanding of AI impact
Work EnvironmentCross-functional teams, policy development, compliance oversightResearch, policy advising, ethical review panels
Employer & Industry UsageTech companies, AI startups, regulatory agenciesResearch institutions, tech firms, consulting firms
Search & Comparison IntentUnderstanding governance roles in AI developmentExploring ethical considerations in AI deployment

Remote Ai Governance focuses on establishing policies, compliance, and oversight for AI systems, ensuring they meet legal and ethical standards. Remote AI Ethics Specialists primarily analyze ethical implications, advise on responsible AI use, and address societal impacts. While both roles involve AI and ethics, governance emphasizes policy enforcement, whereas ethics specialists focus on moral considerations and ethical frameworks.

How much do remote AI governance professionals make?

Remote AI governance professionals typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of the organization's AI systems. Senior roles or those with specialized skills in ethics, compliance, and policy may command higher salaries, especially in tech-focused industries.

How to get into remote AI governance?

To pursue a role in remote AI governance, candidates should develop expertise in AI ethics, policy, and compliance, often through degrees in computer science, law, or related fields. Gaining experience with AI tools, data management, and regulatory frameworks, along with strong communication skills, is essential for remote positions in this field.

Is remote AI governance a good career?

Remote AI governance involves overseeing the ethical and responsible use of artificial intelligence systems, often requiring skills in AI, policy, and compliance. It is a growing field with increasing demand for professionals who can ensure AI aligns with legal and ethical standards, offering opportunities in various industries and organizations. Success in this career typically depends on relevant expertise, certifications, and the ability to work independently in a remote environment.

What are popular job titles related to Remote Ai Governance jobs in Spring, TX?

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

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

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

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

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

Remote Ai Governance jobs near you

AI Platform Engineer

Vallen

Houston, TX • On-site, Remote

Full-time

Posted 28 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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