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Ai Solutions Engineer Jobs in Spring, TX (NOW HIRING)

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. They are seeking an experienced AI Solutions Manager to lead a team in the design and ...

We dream in over 35 languages and share one mission: to engineer experiences that amaze. Role Overview We are in search of a dynamic and results-driven AI Software Presales Solutions Architect ...

Engineer appropriate system-level AI solutions in collaboration with subject-matter experts, product champions, product managers, designers, and software engineers. * Work with software engineering ...

AI Solutions Engineering Delivery Lead

Houston, TX · On-site

$97K - $128K/yr

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will ...

Solutions Engineer

Houston, TX · On-site

$200 - $215/hr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will ...

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Showing results 1-20

Ai Solutions Engineer information

See Spring, TX salary details

$39.6K

$109.7K

$161.5K

How much do ai solutions engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for ai solutions engineer in Spring, TX is $109,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $125,000.00 per year, depending on experience, location, and employer.

What is an AI Solutions Engineer?

AI Solutions Engineers are professionals who design, develop, and implement artificial intelligence-based systems and applications to solve business problems. They bridge the gap between AI research and practical deployment, working closely with data scientists, software engineers, and business stakeholders. Their responsibilities often include creating AI models, integrating them into products or workflows, and ensuring these solutions are scalable, reliable, and aligned with organizational goals.

How does an AI Solutions Engineer typically collaborate with cross-functional teams during a project lifecycle?

AI Solutions Engineers frequently work alongside data scientists, software developers, product managers, and business stakeholders throughout a project's lifecycle. Their role involves translating business requirements into technical AI solutions, integrating models into existing systems, and ensuring seamless deployment. Regular communication and collaboration are essential, as they often lead technical discussions, clarify project goals, and address implementation challenges. This cross-functional teamwork fosters innovation and ensures that AI solutions are practical, scalable, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as an AI Solutions Engineer, and why are they important?

To thrive as an AI Solutions Engineer, you need a strong background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience with AI frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or GCP), and proficiency in programming languages like Python are essential, along with certifications in AI or cloud technologies. Excellent problem-solving, communication, and teamwork skills help you translate business needs into technical solutions and collaborate across departments. These competencies ensure effective development, deployment, and integration of AI solutions that drive business value.

What is the difference between Ai Solutions Engineer vs Data Scientist?

AspectAi Solutions EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong statistical and programming skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teams, implements models in productionAnalyzes data, builds models, interprets results for insights
Employer & Industry UsageTech companies, AI-focused firms, startupsResearch institutions, tech companies, finance, healthcare

While both roles involve AI and data, Ai Solutions Engineers focus on deploying AI solutions in production environments, working closely with engineering teams. Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their focus on implementation versus analysis.

What are popular job titles related to Ai Solutions Engineer jobs in Spring, TX?

For Ai Solutions Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Engineer jobs in Spring, TX look for?

The top searched job categories for Ai Solutions Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Solutions Engineer jobs?

Cities near Spring, TX with the most Ai Solutions Engineer job openings:

Full-time

Posted 7 days ago


Job description

POSITION OVERVIEW The AI Solutions Engineer designs, builds, and deploys AI-driven solutions. This role takes validated concepts often originating from rapid prototypes or pilot programs and engineers them into scalable, secure, and operational systems. The focus is on applied AI: integrating machine learning, automation, and intelligent services into real-world workflows within a public safety environment.

This is a hands on, technical builder role that bridges experimentation and enterprise-grade implementation. Key Responsibilities Build & Productionize AI Solutions Designs, develops, and deploys AI/ML solutions, such as computer vision, natural language processing, predictive analytics, and automation Converts prototypes and proofs-of-concept into stable, scalable applications Develops APIs, services, and pipelines to integrate AI into existing systems Engineer End-to-End Workflows Builds data ingestion, preprocessing, model execution, and output delivery pipelines Integrates AI capabilities into law enforcement operational platforms Ensures reliability, performance, and maintainability of deployed solutions Model Integration & Optimization Works with pre-trained models, commercial AI services, or custom-built models Fine-tunes, optimizes, and evaluates models for accuracy and operational usefulness Implements monitoring for model performance and drift over time This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this position. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time.

MINIMUM REQUIREMENTS Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; an equivalent combination of education and experience may be considered Three (3) or more years of hands-on experience building software or AI/ML solutions Knowledge, Skills, and Abilities Experience with Python and common AI/ML libraries (e.g., TensorFlow, PyTorch) Experience building APIs and integrating systems (REST, microservices) Understanding of data pipelines and cloud environments (Azure, AWS, or similar) PREFERENCES Experience with computer vision, natural language processing, or real-time analytics Familiarity with video analytics, sensor data, or geospatial data Experience in public safety, government, or another regulated environment Knowledge of MLOps practices (CI/CD for models, monitoring, versioning) GENERAL INFORMATION Work Environment & Physical Demands This position operates primarily in a professional office setting. Standard use of computers, phones, printers, and related technical equipment. The ability to lift and carry up to 10 pounds is occasionally necessary

Position Type and Typical Hours of Work Position Type: Professional Staff, Full-time, Exempt Work Schedule: Typically Monday - Friday, 8:00 AM - 5:00 PM. Hours may vary based on the department's business needs. Equal Opportunity Statement Harris County is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, pregnancy, disability, genetic information, or any other protected class in accordance with applicable federal and state laws.