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Artificial Intelligence Jobs in Spring, TX (NOW HIRING)

Lamons

Business Intelligence Analyst

Houston, TX · On-site

Preferred : • Exposure to Python programming, APIs, and emerging AI technologies is preferred. • Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence ...

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All JobsArtificial Intelligence JobsArtificial Intelligence Jobs in Spring, TX

Artificial Intelligence information

See Spring, TX salary details

$9.8K

$91.6K

$118.4K

How much do artificial intelligence jobs pay per year?

As of Jul 19, 2026, the average yearly pay for artificial intelligence in Spring, TX is $91,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $117,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Specialist, and why are they important?

To thrive as an Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by relevant degrees or certifications. Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with data processing tools are typically required. Critical thinking, innovation, and effective communication are essential soft skills that set top professionals apart in this field. These skills and qualities are crucial for designing robust AI solutions, collaborating across teams, and adapting to the rapidly evolving AI landscape.

What are the jobs in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What is an entry level job in AI?

An entry-level job in AI typically involves roles such as AI analyst, data analyst, or junior machine learning engineer. These positions often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and sometimes a relevant degree or certification. They provide opportunities to gain practical experience and develop skills in AI development and data analysis.

What Is the Job Outlook for Careers in Artificial Intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership responsibilities, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects the expertise, impact, and complexity of the work involved.

What are Artificial Intelligence jobs?

Artificial Intelligence (AI) jobs involve creating, developing, and implementing computer systems that can perform tasks typically requiring human intelligence. These roles can include data scientists, machine learning engineers, AI researchers, and AI product managers. Professionals in these positions work on areas such as natural language processing, computer vision, robotics, and deep learning. AI jobs require strong backgrounds in computer science, mathematics, and programming, and are in high demand across industries like technology, healthcare, finance, and automotive.

What types of jobs are in artificial intelligence?

Jobs in artificial intelligence include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming, data analysis, and understanding of algorithms, often utilizing tools like Python, TensorFlow, or PyTorch.

What are some common challenges faced by professionals working in Artificial Intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

More about Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Spring, TX? The most popular types of Artificial Intelligence jobs in Spring, TX are:
What job categories do people searching Artificial Intelligence jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence jobs? Cities near Spring, TX with the most Artificial Intelligence job openings:
Artificial Intelligence jobs near you

Sr. Artificial Intelligence Lab Scientist - Material Discovery (1844)

Aramco Americas Company

Houston, TX • On-site

$87K - $119K/yr

Full-time

Re-posted 29 days ago

Job description

OVERVIEW:

Aramco Americas is establishing a state‑of‑the‑art research center in Houston dedicated to advancing CO₂ capture, low‑carbon liquid fuels and chemicals, renewable energy, and energy storage solutions, as well as artificial intelligence applications in the energy sector. The center’s mission is to transform early‑stage, low‑TRL research into mid‑level technologies (TRL 5–7), bridging the gap between fundamental discovery and practical deployment.

SCOPE:

Aramco Americas is seeking an experienced scientist specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) to accelerate next-generation materials discovery for carbon capture and utilization, catalysis for synthetic fuels and chemicals development, and related sustainable energy technologies. The role will apply AI/ML-driven modeling, simulation, and data analytics to understand and predict material structure-property-performance relationships and link these insights to industrially relevant processes. The position will work closely with laboratory researchers and process development teams to translate computational discoveries into experimental validation, scale-up considerations, and practical implementation. The ideal candidate will possess a strong technical foundation in AI/ML-enabled material research, coupled with demonstrated experience managing multidisciplinary research projects and driving innovations from concepts through deployment.

PRINCIPLE DUTIES:

  • Develop and lead execution of energy related research projects (e.g., catalysis, adsorption, and energy transition related) with an emphasis on computational materials discovery.
  • Organize project tasks and milestones, including evaluation of important schedules, deliverables, and resources.
  • Collaborate with stakeholders and domain experts to understand challenges, frame AI‑ready problem statements, and identify high‑impact solutions.
  • Lead end‑to‑end AI initiatives, including data acquisition, feature engineering, model deployment, and performance monitoring.
  • Build or modify existing computational architecture for material development.
  • Work with team members to transfer computational designs into laboratory samples.
  • Collect and analyze data related to material properties and performance.
  • Stay up to date on emerging technologies in the field of AI and ML.
  • Identify collaborative opportunities with both internal and external partners based upon identified technical challenges and collaborator skill sets.
  • Work with key business stakeholders to manage technology deployment.
  • Write technicals reports, journal publications, and present findings at conferences.
  • Provide and manage a safe, accident-free laboratory environment.  Follow all company safety rules in performing job duties.

MINIMUM REQUIREMENTS:

  • PhD Degree in an Engineering or Science discipline with a preference towards computational materials analysis and discovery.
  • Nine (9) years of relevant industrial experience related to energy materials design
  • Preferred candidates will have research experience in theoretical, computational, modeling, and/or simulation of materials science or related fields, including familiarity with molecular dynamics and density functional theory methodologies.
  • Preferred candidates will have experience in the application of AI and ML approaches to material development.
  • Preferred candidates will be proficient in the Python coding language.
  • Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined.
  • Candidate should be comfortable in working independently or part of a project team, frequent project presentation and travel to meetings at conferences and universities.  Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.

NO THIRD-PARTY CANDIDATES ACCEPTED

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