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Ai Jobs in Spring, TX (NOW HIRING)

AI Architect Work location : Houston, TX Workplace : Houston, TX- Onsite Position Overview: We are looking for an experienced AI Architect to lead the integration of artificial intelligence ...

New

AI Security Architect

Houston, TX ยท Hybrid

$62 - $80.25/hr

The Opportunity The AI Security Architect reports to the Manager, Cybersecurity Technology. This role is responsible for defining, designing, and governing the security architecture for Artificial ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

Strategist - AI Transformation

Spring, TX

$108K - $139K/yr

Strategist - AI Transformation Description - Job Summary The AI Transformation Strategist is responsible for driving enterprise-wide AI transformation initiatives, translating business priorities ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: * Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, ...

AI Automation Analyst

Spring, TX ยท On-site

$130K - $150K/yr

We are seeking a detail-oriented AI Analyst / AI Automation Specialist to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

AI Application Engineer We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: * Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: * Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: * Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, ...

Data/AI Lead Location: Houston TX - 3 days /week Duration: Direct Hire / Full time role SUMMARY OF THE ROLE Responsible for leading the strategic data and AI initiatives, ensuring alignment with ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: * Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: * Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, ...

Showing results 41-60

Ai information

See Spring, TX salary details

$39

$54

$63

How much do ai jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai in Spring, TX is $54.64, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $60.77 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What is an entry-level job in AI?

An entry-level job in AI typically involves tasks such as data preprocessing, basic model training, and assisting with AI research under supervision. Common roles include AI intern, junior data scientist, or AI technician, often requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the most commonly searched types of Ai jobs in Spring, TX? The most popular types of Ai jobs in Spring, TX are:
What are popular job titles related to Ai jobs in Spring, TX? For Ai jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ai jobs in Spring, TX look for? The top searched job categories for Ai jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai jobs? Cities near Spring, TX with the most Ai job openings:
Infographic showing various Ai job openings in Spring, TX as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $113,657 per year, or $54.6 per hour.

AI Architect | Onsite

SDH Systems

Houston, TX โ€ข On-site

Other

Posted 2 days ago

New


Job description

Job Description: AI Architect

Work location:  Houston, TX

Workplace: Houston, TX- Onsite

Position Overview:

We are looking for an experienced AI Architect to lead the integration of artificial intelligence capabilities into customer applications, including enterprise systems, products, and cloud infrastructures. The ideal candidate will bring expertise in designing, developing, and implementing AI solutions such as chatbots, AI automation, Agentic AI and other cutting-edge use cases. This role requires a deep understanding of Gen AI tools, frameworks, and technologies, as well as a strong ability to collaborate with cross-functional teams to deliver impactful solutions for our clients.

Key Responsibilities:

  • Lead the design and architecture of AI-driven solutions for customer applications, including chatbots, recommendation engines, and Agentic AI & automation tools.
  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Evaluate and implement AI frameworks, libraries, and platforms to align with business and technical requirements.
  • Develop scalable and secure AI pipelines and workflows that integrate seamlessly with existing enterprise systems and cloud infrastructures.
  • Collaborate with product managers, Client Architects, developers, and stakeholders to identify AI opportunities and define technical strategies.
  • Guide the selection and use of machine learning algorithms, natural language processing (NLP), computer vision, or other Gen AI technologies as needed.
  • Ensure compliance with data security, privacy, and ethical guidelines in all Gen AI & ML implementations.
  • Stay current with advancements in AI tools (Gen AI & ML) and technologies and recommend their integration into the organization''s toolkit.
  • Provide technical leadership and mentorship to development teams working on AI projects.
  • Prepare comprehensive documentation and architecture diagrams for implemented solutions.

Qualifications:

  • Proven experience as an AI Architect or in a similar role, with a strong portfolio of successfully delivered AI/Gen-AI solutions.
  • Proficiency in AI tools and platforms such as TensorFlow, PyTorch, OpenAI, Hugging Face, Google AI, or similar.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Strong programming skills in Python, R, or Java, with experience in API development and integration.
  • Knowledge of tools like LangChain, LangGraph, LangSmith, Semantic Kernal
  • Knowledge of cloud platforms (Azure, AWS, Google Cloud Platform) and their AI/ML offerings.
  • Familiarity with enterprise application development and full-stack technologies.
  • Experience with chatbot development, automation frameworks, and AI-based decision systems.
  • Solid understanding of AI ethics, data governance, and security best practices.
  • Excellent problem-solving, analytical, and communication skills.
  • Bachelor''s or Master''s degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Qualifications:

  • Certifications in AI/ML from platforms like AWS, Azure, or Google Cloud.
  • Experience with low-code/no-code AI integration tools.
  • Understanding of DevOps practices for AI/ML model deployment.
  • Experience in customer-facing roles with the ability to translate business needs into technical solutions.