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Ai Integration Jobs in Spring, TX (NOW HIRING)

SCADA Migration & Integration Lead

Houston, TX ยท On-site

$67.50 - $87.25/hr

... AI to create value at speed across the enterprise, bringing together the talent of our ... Own the enterprise integration architecture and patterns across REST/API, messaging (Kafka), and

New

Integration Architect

Houston, TX ยท On-site

$61 - $78.50/hr

Implement APIs using various policies for AI, authentication, logging, transformation, etc. * SAP Cloud Integration (CPI/APIM): Develop custom integration flows that streamline SAP-to-Anywhere ...

Integration Architect

Houston, TX ยท On-site

$61 - $78.50/hr

Implement APIs using various policies for AI, authentication, logging, transformation, etc. * SAP Cloud Integration (CPI/APIM): Develop custom integration flows that streamline SAP-to-Anywhere ...

Integration Architect

Houston, TX

$67.50 - $87.25/hr

Implement APIs using various policies for AI, authentication, logging, transformation, etc. * SAP Cloud Integration (CPI/APIM): Develop custom integration flows that streamline SAP-to-Anywhere ...

Integration Architect

Houston, TX

$67.50 - $87.25/hr

Implement APIs using various policies for AI, authentication, logging, transformation, etc. * SAP Cloud Integration (CPI/APIM): Develop custom integration flows that streamline SAP-to-Anywhere ...

... AI, operations, market research, and growth-focused workstreams. THE ROLE As a Data Integration ... Analyst, you will help identify promising markets, companies, products, operators, and investment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Ability to document processes and findings clearly for integration into AI systems. * Comfort working independently in a fully remote, digital-first environment. * Attention to detail and commitment ...

Partner with leadership to identify opportunities for AI integration that improve customer experience, quality monitoring, knowledge management, and agent performance. * Evaluate AI-generated ...

Senior FP&A Analyst

Houston, TX ยท On-site +1

$81K - $101K/yr

AI Integration: Spearhead the integration of AI-driven analytics in financial processes to improve data accuracy, enhance reporting capabilities, and support strategic decision-making. Leverage ...

Showing results 21-40

Ai Integration information

See Spring, TX salary details

$19.1K

$105K

$152.2K

How much do ai integration jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai integration in Spring, TX is $104,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $130,400.00 per year, depending on experience, location, and employer.

How to get into AI integration?

To pursue a career in AI integration, develop skills in programming languages like Python, understand machine learning frameworks, and gain experience with AI tools and APIs. Earning relevant certifications and working on projects that demonstrate AI implementation can improve job prospects in this field.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

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

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Ai Integration jobs in Spring, TX? For Ai Integration jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ai Integration jobs in Spring, TX look for? The top searched job categories for Ai Integration jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Integration jobs? Cities near Spring, TX with the most Ai Integration job openings:
Infographic showing various Ai Integration 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 $104,995 per year, or $50.5 per hour.

Software Architect - AI Solutions

Indigo Beam Consulting

Houston, TX โ€ข On-site

Full-time

Re-posted 25 days ago


Job description


Software Architect - AI Solutions
Location: Houston, TX
Contract-to-hire
Work Model: Hybrid
Schedule: Monday and Friday remote; Tuesday, Wednesday, and Thursday onsite in the Spring area
About the Role
We are seeking an Software Architect - AI Solutions to join our team in Houston. This role is designed for a senior technical professional who can both define architecture and actively contribute to hands-on implementation.
This is not a purely advisory, high-level architecture, or documentation-only role. The selected candidate will be expected to write code, build prototypes, review pull requests, contribute to production systems, and guide engineering teams through delivery.
The ideal candidate has strong experience designing and building AI-enabled enterprise applications using Python, Generative AI, Retrieval-Augmented Generation, or RAG, Azure cloud infrastructure, C#, .NET, React.js, Node.js, MongoDB or another NoSQL database, and GitHub Actions.
Key Responsibilities
  • Design and build scalable AI-enabled applications across backend, frontend, cloud, data, and AI layers.
  • Architect and implement Generative AI solutions, including RAG-based workflows.
  • Write production-quality code using Python, C#, .NET, React.js, and Node.js.
  • Build prototypes, proof of concepts, APIs, backend services, frontend components, and AI integrations.
  • Review code, provide technical guidance, and help engineering teams solve complex implementation challenges.
  • Design cloud-based architectures, preferably on Microsoft Azure, including application services, data flows, integrations, and deployment patterns.
  • Work with MongoDB or other NoSQL databases to design scalable data models and retrieval patterns.
  • Support CI/CD strategy, deployment automation, and engineering workflows using GitHub Actions.
  • Partner with product, engineering, business, and leadership stakeholders to translate business needs into working software.
  • Establish best practices for scalability, performance, security, reliability, maintainability, observability, and responsible AI usage.

Requirements
Required Qualifications
  • Strong hands-on software engineering experience, including recent coding experience.
  • Experience designing and building production applications using Python.
  • Practical experience with Generative AI and Retrieval-Augmented Generation, or RAG.
  • Strong technical background with C#, .NET, React.js, and Node.js.
  • Experience with cloud infrastructure, preferably Microsoft Azure.
  • Experience with MongoDB or another NoSQL database.
  • Experience with CI/CD pipelines and automation using GitHub Actions.
  • Ability and willingness to contribute directly to code, architecture, technical design, and implementation.
  • Ability to work onsite Tuesday through Thursday in the Spring, TX area.
  • Must be based in or near Houston, TX.
  • Strong communication skills with both technical and non-technical stakeholders.
Employment Details
  • Title: Software Architect - AI Solutions
  • Location: Houston, TX
  • Work Model: Hybrid
  • Remote Days: Monday and Friday
  • Onsite Days: Tuesday, Wednesday, and Thursday
  • Office Area: Spring, TX
  • Function: AI Engineering / Software Architecture / Full Stack Engineering
  • Seniority Level: Senior / Principal-level candidate preferred