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Remote Embedded Ai Jobs in Texas (NOW HIRING)

AI embedded into day-to-day workflows * Continuous improvement in campaign performance * Building a repeatable pipeline generation engine Our team Core Team Locations USA Remote status Fully Remote

Remote in US About Virtasant Virtasant is a global technology services company that delivers ... AI embedded into day-to-day workflows * Continuous improvement in campaign performance * Building a ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

Showing results 21-40

Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are the most commonly searched types of Embedded Ai jobs in Texas?

The most popular types of Embedded Ai jobs in Texas are:

What cities in Texas are hiring for Remote Embedded Ai jobs?

Cities in Texas with the most Remote Embedded Ai job openings:

Infographic showing various Remote Embedded Ai job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI/Data Architect Houston, TX (Onsite)

Quanta Services

Houston, TX • On-site, Remote

$55.25 - $71/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Quanta Services rating

7.3

Company rating: 7.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

44th of 80 rated construction


Job description

QISG leverages Quanta’s comprehensive resources to deliver collaborative solutions for our partners' energy infrastructure needs. We use in-house talent, expertise and resources to plan, design, engineer, manage, conduct maintenance on and construct projects.


Our turnkey service capabilities provide our customers with efficiency, consistency, attention to detail and safe execution. The QISG team brings together Engineering, Safety, Quality, Material Procurement, QA/QC, Right-of-Way Acquisition, Scheduling, Environmental Planning, Permitting, Title and Land Management expertise that ensure outstanding results for our clients.


AI / Data Architect

Location: Katy, TX — In Office
Schedule: Monday–Friday | Core hours: 8:00 AM–5:00 PM
Office: 15011 Katy Freeway, Houston, TX 77094

Experience: 8-12 Years
Visa Sponsorship: QISG does not offer visa sponsorship of any kind for this position. Candidates must be authorized to work in the U.S. without current or future sponsorship. 

What if you could take AI out of the lab and put it directly into the hands of the people building America’s energy infrastructure? That’s what we’re doing at QISG.

QISG is investing in AI to transform how our teams plan, build, operate, and manage complex infrastructure projects. We’re looking for an AI/Data Architect who can turn ambitious ideas into working solutions — quickly, responsibly, and at scale.

This is not a role where you’ll spend your days writing strategy decks about what AI could do. You’ll work directly with business leaders, engineers, and field teams to identify real problems, build prototypes, prove value, and turn successful solutions into production-ready tools.


As our AI/Data Architect, you’ll be a senior technical leader helping shape the next generation of AI-enabled operations at QISG.

You’ll move between strategy and execution — one day working with an executive to identify an opportunity, the next pair-programming a prototype, and later architecting a scalable solution that becomes part of how the organization operates.

You’ll have the autonomy to experiment, the technical challenges to stay engaged, and the opportunity to see your work create measurable business impact.

  • Build agentic workflows that automate complex business processes
  • Extract knowledge from thousands of technical PDFs, spreadsheets, images, and other documents
  • Automate manual processes such as receipt capture and billable-rate validation
  • Reduce operational backlogs and eliminate repetitive work
  • Consolidate financial reporting across enterprise systems
  • Create intelligent document search and contract-analysis capabilities
  • Give teams faster access to the information they need to make decisions
  • Create AI-powered capabilities that simply weren’t possible before

Required
  • 8-12 years of experience in software engineering, AI/ML engineering, data engineering, solutions architecture, or technical consulting
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field (or equivalent experience)
  • Strong software engineering fundamentals including version control, testing, CI/CD, and production-grade development practices
  • Proficiency in modern programming languages such as Python and/or TypeScript/JavaScript
  • Strong SQL skills and experience with relational databases and modern data platforms
  • Hands-on experience building with modern AI systems including LLMs, RAG, agents, prompt engineering, and tool use frameworks
  • Experience taking AI or ML systems from prototype to production, including monitoring, evaluation, governance, and scaling
  • Demonstrated ability to lead complex, multi-stakeholder initiatives from problem definition through delivery and impact measurement
  • Experience with at least one AI coding or agent tool (e.g., Claude Code, Cursor, Copilot, Codex)
  • Awareness of enterprise security, data governance, and responsible AI practices
  • Strong communication skills with the ability to engage executives, technical teams, and field stakeholders
Preferred
  • Experience in energy, utilities, EPC, infrastructure, or construction environments
  • Experience working directly with non-technical stakeholders in fast-paced delivery settings
  • Familiarity with Claude, Anthropic APIs, MCP servers, or similar AI ecosystems
  • Experience building reusable frameworks, accelerators, or internal platforms
  • Background in customer-facing or embedded solution delivery roles

  • Competitive base salary

  • Generous PTO & paid holidays to maintain work-life balance

  • 401(k) with a generous match to plan for your future

  • Comprehensive benefits – medical, dental, vision, and life insurance

  • Weekly pay for consistent, reliable compensation

  • Great mentoring & career growth opportunities – we invest in your developmentI-Remote 


All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.


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