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Ai Integration Engineer Jobs in Texas (NOW HIRING)

Innovate with automation and AI to improve configurations, installations, migrations, and testing ... Integration Engineer Compensation and Benefits at Ericsson At Ericsson, we know that our people are ...

New

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... We're looking for an experienced software integration engineer to lead Validation & Verification (V ...

Software Integration Engineer

San Antonio, TX · On-site +1

$125K - $175K/yr

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... We're looking for an experienced software integration engineer to lead Validation & Verification (V ...

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built ... We're looking for an experienced software integration engineer to lead Validation & Verification (V ...

Localization Tools Integration Engineer

Austin, TX · On-site

$103K - $138K/yr

Job#: 3045775 Localization Tools Integration Engineer Location: United States (Remote) Work Type ... Support future exploration of AI-driven localization workflow automation. Required Qualifications ...

New

Proven experience with AI/ML platform engineering or enterprise-scale data platforms. * Familiarity ... Knowledge of identity and security integration in enterprise environments. * Background in large ...

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

Title: Sr. Software Engineer - AI Location: Irving, TX Job Location: Key Responsibilities * Design ... Integrate retrieval-augmented generation (RAG) pipelines to enhance agent knowledge and ...

Showing results 41-60

Ai Integration Engineer information

See Texas salary details

$41.5K

$115.8K

$161.6K

How much do ai integration engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai integration engineer in Texas is $115,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $130,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What job categories do people searching Ai Integration Engineer jobs in Texas look for?

The top searched job categories for Ai Integration Engineer jobs in Texas are:

What cities in Texas are hiring for Ai Integration Engineer jobs?

Cities in Texas with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $115,781 per year, or $55.7 per hour.

Senior System Integration Engineer - Enterprise Transformation

General Motors

Austin, TX

$165K/yr

Full-time

Posted 3 days ago

New


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,282 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role
As a Senior Systems Integration Engineer - Enterprise Transformation, you will design, build, and scale enterprise integrations and data pipelines that modernize how systems work together across GM. Working from the Software/Core IT side of the transformation, you will focus on connecting Google Workspace, SaaS platforms, enterprise AI tools, and GM's core business systems through secure, reusable, and scalable integration patterns. You will independently deliver complex integration solutions, translate business and technical requirements into practical system designs, and build production-ready pipelines that align to enterprise standards. You will partner closely with product, engineering, TPM, security, and business teams to enable reliable data flow, workflow continuity, and platform interoperability across GM.

What You'll Do
  • Establish reusable patterns by defining and building GCP-native integration templates, accelerators, and reference implementations that reduce redundant engineering efforts across transformation pods.

  • Apply platform guardrails by aligning integration architectures with enterprise data standards, identity guidelines, and security policies.

  • Partner with Security, Privacy, Identity, and Information Lifecycle Management (ILM) teams to secure workflows that process regulated or sensitive data.

  • Evaluate incoming integration requests and recommend the right technical path (standard SaaS configuration, GCP-native services, or custom engineering).

  • Design, build, and maintain robust APIs, webhooks, and middleware pipelines connecting GCP with Workday, ServiceNow, and core internal systems.

  • Define source-to-destination data mappings, transformation logic, exception handling, and monitoring models that support reliable operations.

  • Modernize legacy and Microsoft-dependent interfaces into scalable, event-driven, Google-aligned integration patterns.

  • Build end-to-end workflows that orchestrate data movement and trigger actions across HR, IT, and internal enterprise ecosystems.

  • Design coexistence approaches that allow Microsoft, GCP, and internal environments to interoperate effectively during phased migration waves.

  • Coordinate data cutover sequencing, permissions validation, metadata mapping, and post-deployment stabilization to reduce business disruption.

  • Partner with Product Leads and Technical Program Managers to embed GCP-native integration capabilities into real-world operational processes.

  • Provide technical leadership through design reviews, architecture guidance, and engineering best practices across the program.

  • Deliver technical designs, dependency maps, runbooks, and handover materials that support long-term sustainment of integrated solutions.

Your Skills & Abilities (Required Qualifications)
  • 10+ years of experience in integration engineering, platform architecture, enterprise application integration, or software engineering within complex corporate environments.

  • Hands-on experience architecting and building enterprise pipelines using Google Cloud integration products (e.g., Apigee API Management, Google Cloud Application Integration, Pub/Sub, Cloud Functions).

  • Proven track record of mapping dependencies across SaaS applications, data layers, identity services, and business processes in large enterprise environments.

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.

  • Deep technical knowledge of integrating GCP with platforms such as Workday and ServiceNow using REST/SOAP APIs, web services, and integration hubs.

  • Strong production-level proficiency in Python and core scripting or automation frameworks.

  • Extensive experience working with REST APIs, webhooks, middleware solutions, and event-driven architecture patterns.

  • Strong understanding of Git-based version control, CI/CD pipelines, and debugging distributed integration issues across hybrid environments.

  • Deep knowledge of enterprise authentication, authorization, and identity frameworks (e.g., GCP IAM, OAuth2, SAML, OIDC).

  • Proven history of collaborating successfully with product managers, engineering teams, TPMs, security leads, and business stakeholders.

  • Strong written and verbal communication skills, including the ability to explain technical trade-offs, architectural risks, and engineering decisions to non-technical partners.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Active professional-level Google Cloud certification (e.g., Professional Cloud Architect or Professional Cloud Integration Engineer).

  • Direct experience supporting large-scale Microsoft 365 to Google Workspace migration or platform coexistence programs.

  • Technical familiarity with Google Workspace administration, Google Workspace APIs, Google Apps Script, and AppSheet.

  • Experience connecting enterprise workflows to modern data and AI ecosystems such as Gemini Enterprise, BigQuery, Dataflow, Glean, Slack, and Databricks.

  • Familiarity with corporate data retention, ILM, privacy frameworks, and regulated data controls in large-scale enterprise environments.

  • Experience supporting automated testing, complex cutover planning, data validation, hypercare support, and long-term sustainment models.

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

For a California-only role, use:

Compensation: The compensation information is a good-faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

Salary Range: The salary range for this role in California is $202k-$310k per year. The actual base salary offered will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908