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Remote Point Cloud Modeling Jobs in Texas (NOW HIRING)

Senior Cloud Database Operations Engineer

Austin, TX · On-site +1

$105K - $143K/yr

This position will be located at our office in Raleigh, NC, Austin, TX, or remote. Occasional ... Maintain Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) Performance Tuning

Senior Cloud Database Operations Engineer

Austin, TX · On-site +1

$105K - $143K/yr

This position will be located at our office in Raleigh, NC, Austin, TX, or remote. Occasional ... Maintain Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) Performance Tuning

Summer Intern: Scan Engineer/Technician 1

Dallas, TX · On-site +1

$16.50 - $21.50/hr

... point cloud to match project origins. • Communicate problems encountered in both field and office ... BIM software for modeling and/or working with point clouds, or any equivalent combination of ...

Remote DevOps Engineer

Houston, TX · Remote

$50.25 - $69/hr

The Sonoma team prides itself on best model for delivery of IT Resources in a 24/7 model, our high ... viable cloud in Azure - pronto! Project would start ASAP. Travel: onsite in Houston for week 1 - ...

Security Engineer, Cloud

Austin, TX · On-site +1

$218K - $252K/yr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... The below is a starting point. We always make space for exceptional people, so if you don't fit ...

New

... point integrations to a modern, domain-driven data product model. You will establish the target ... This position's work style is remote from any of the locations listed below. You must reside in ...

... point integrations to a modern, domain-driven data product model. You will establish the target ... This position's work style is remote from any of the locations listed below. You must reside in ...

... point integrations to a modern, domain-driven data product model. You will establish the target ... This position's work style is remote from any of the locations listed below. You must reside in ...

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Showing results 1-20

Remote Point Cloud Modeling information

What is remote point cloud modeling?

Remote point cloud modeling involves creating 3D digital representations of objects or spaces using point cloud data, which is typically collected through laser scanners or photogrammetry. The 'remote' aspect means that the modeling work is performed from a location other than the site where the data was captured, often using specialized software to process and interpret the data. This technology is widely used in industries such as construction, architecture, surveying, and engineering for tasks like as-built documentation, measurement, and visualization. Remote point cloud modelers convert raw point cloud data into usable models, such as BIM or CAD files, that are valuable for planning, analysis, and project management.

What are some common challenges faced by professionals working in remote point cloud modeling, and how can they be addressed?

One common challenge in remote point cloud modeling is managing large data files, which can cause slow upload/download speeds and software lag. Ensuring a reliable internet connection and using cloud-based collaboration tools can help mitigate these issues. Additionally, clear communication with team members is crucial, as remote work can sometimes lead to misunderstandings about project specifications or deadlines. Regular virtual meetings and detailed documentation can help keep everyone aligned and projects on track.

What are the key skills and qualifications needed to thrive as a Remote Point Cloud Modeler, and why are they important?

To thrive as a Remote Point Cloud Modeler, you need expertise in 3D modeling, spatial data interpretation, and proficiency with point cloud processing, often supported by a degree in geomatics, engineering, or architecture. Familiarity with technical tools such as Autodesk ReCap, Bentley Pointools, and laser scanning equipment, as well as certifications in CAD or BIM, are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills ensure accurate digital representations, efficient project collaboration, and high-quality deliverables critical for industries like construction, surveying, and design.
What are popular job titles related to Remote Point Cloud Modeling jobs in Texas? For Remote Point Cloud Modeling jobs in Texas, the most frequently searched job titles are:

Head of AI Platform Engineering and Public Cloud

Tmhcc

Houston, TX • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Head of AI Platform Engineering & Public Cloud

Location: Houston, TX or Remote

Reports To: Deputy CIO

Employment Type: Full time

Requisition Begin Date: 4/30/2026

Requisition End Date: 7/30/2026 (Posting may close earlier if filled or business needs change.)

About Us

Help us insure it. Tokio Marine HCC is a leading global specialty insurance group, backed by the strength and stability of the Tokio Marine Group. With more than 50 years of sustained growth and profitability, and offices across the United States, the United Kingdom, Europe, and other international locations, we offer more than 100 classes of specialty insurance-covering everything from the crops that feed us and the concerts that entertain us to rescuing travelers abroad.

Guided by our Mind Over Risk philosophy, we empower clients to pursue opportunities with confidence while fostering a culture rooted in innovation, collaboration, and trust. Always Advancing, we embrace an entrepreneurial spirit; as Experts in Tomorrow, we anticipate what's next; and by Reaching Out, we build genuine connections that enable our people and our business to thrive.

Role Overview

We are seeking a senior technology leader to serve as Head of AI Platform Engineering & Public Cloud, responsible for defining and executing TMHCC's enterprise platform strategy across both cloud and artificial intelligence domains.

This role will build and lead a net-new AI Platform Engineering function while inheriting and evolving the existing Public Cloud Platform Engineering team. The primary mandate is to enable safe, scalable, and governed AI adoption across the enterprise, transitioning from fragmented experimentation to enterprise-grade capabilities.

This is a strategic leadership role. Success requires deep technical credibility, strong organizational leadership, and the ability to drive alignment and outcomes across a complex, federated environment.

Key Responsibilities

Platform Strategy & Vision

  • Define and execute enterprise strategy for AI platform engineering and multi-cloud environments

  • Establish AI guardrails, governance models, and architectural patterns

  • Drive decisions on standardization, centralization, and build vs. buy

  • Align platform roadmap with business priorities

AI Platform Engineering

  • Build and scale a net-new AI platform function

  • Implement governance-by-engineering with policy-as-code and automated controls

  • Partner with security on identity, data protection, and secure AI usage

  • Establish model access, observability, and risk frameworks

  • Reduce shadow AI through approved tools and vendor strategies

Public Cloud Platform Leadership

  • Lead and evolve the existing cloud platform team

  • Ensure secure, scalable, and cost-efficient cloud capabilities

  • Integrate cloud and AI strategies into a unified platform model

Platform as a Product

  • Operate platforms as products with clear roadmaps and metrics

  • Develop internal developer platforms and self-service capabilities

  • Define service catalogs and golden paths

  • Drive adoption through developer-centric design

Developer Experience & Enablement

  • Improve developer experience through self-service and automation

  • Deliver APIs, templates, and platform interfaces

  • Enable AI-assisted development workflows

  • Partner with engineering teams to drive adoption

Governance, Security & Automation

  • Embed governance via policy-as-code and automated guardrails through close partnership with Information Security

  • Standardize identity, secrets, and access controls

  • Ensure audit-ready telemetry and compliance

  • Enforce data governance and AI usage controls

FinOps & Optimization

  • Embed cost management into platform capabilities

  • Provide cost visibility and enforce budgets

  • Drive accountability via consumption models

  • Optimize cloud and AI cost-performance tradeoffs

Organizational Leadership

  • Build and lead a high-performing platform engineering organization

  • Define operating models across federated teams

  • Influence stakeholders without direct authority

  • Develop talent and foster accountability culture

What You Bring

Education

  • Bachelor's degree in computer science, or a related field, or equivalent experience

Experience

  • 10+ years in cloud, platform engineering, or AI environments

  • 5+ years leading engineering or platform teams

  • Experience building and scaling platform capabilities

  • Strong technical background in cloud and AI/LLM systems

  • Experience with policy-as-code and governance frameworks

  • Understanding of AI risks, security, and data governance

  • Ability to lead through ambiguity and drive outcomes

Preferred

  • Experience building enterprise AI platforms

  • Experience with internal developer platforms

  • Familiarity with RAG and agentic workflows

  • FinOps and cost optimization experience

  • Exposure to SRE and modern platform tooling

  • Experience integrating with enterprise systems

Additional Qualifications

  • Product-minded leader focused on adoption and impact

  • Influential operator across stakeholders

  • Systems thinker connecting technology to business outcomes

  • Pragmatic decision-maker balancing risk and speed

  • Experienced enterprise change leader

  • Comfortable navigating ambiguity and emerging technologies

What We Offer

  • Competitive salary and comprehensive medical, vision, and dental benefit package, with eligibility beginning on your date of hire

  • Strong learning culture with ongoing development opportunities

  • Basic life and disability insurance

  • 401(k) plan with 6% company match

  • 20 days of PTO, two floating holidays, approximately 11 paid holidays, and volunteer time off

  • Paid parental leave

  • An opportunity to do meaningful work and love what you do

Pay Transparency

The pay range for this position is $175,600 - $387,300, which includes geographic adjustments, where applicable. The pay range is the range TMHCC, in good faith, believes is the range of compensation for this role at the time of this posting. The hired applicant will be offered pay within the entire range based on the candidate's geographic location, qualifications, work experience, education, and/or skill level. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of color, race, sex, national origin, sexual orientation, religion, age, veteran status, disability, pregnancy, citizenship status, genetic information, or any other basis protected by federal, state, or local pay equity laws.

You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the Company is concerned about a conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction or challenge the accuracy of the background report. The Company will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state and local laws, such as the Violent Crime Control and Law Enforcement Act of 1994 (18 USC 1033(e))(the "VCCLEA"), which restricts financial institutions and insurers such as TMHCC from employing individuals with certain types of criminal convictions. Where the hiring and employment of individuals is not restricted by the foregoing, the Company will consider qualified applicants with arrest or conviction history in compliance with applicable law such as the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance, the San Diego Fair Chance Ordinance, and the San Francisco Fair Chance Ordinance.]

Equal Opportunity Employer

TMHCC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances

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