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Ai Automation Engineer Jobs in Texas (NOW HIRING)

Overview Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI ...

Senior AI & Automation Engineer

Austin, TX · Hybrid

$103K - $135K/yr

Senior AI & Automation Engineer (Must have strong software engineering experience and be able to interactive with executives, Need Strong Business Acumen and Executive Presence) Location: Deerfield ...

The NVIDIA Office of the Chief Security Officer is looking for an AI and Automation Engineer to help us create something new - an AI-native, agent-enabled security organization built from the ground ...

The NVIDIA Office of the Chief Security Officer is looking for an AI and Automation Engineer to help us create something new - an AI-native, agent-enabled security organization built from the ground ...

Working closely with the Manager, AI Automation Engineering, who owns engineering delivery and AI Automation Delivery POD execution, and the Lead AI Automation Engineer, who owns solution ...

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

This role focuses on using artificial intelligence tools, prompt engineering techniques, and ... AI tools and a strong interest in automation, analytics, and AI-assisted reporting. Key ...

We are currently seeking qualified candidates to fill the role of a Automation Engineer for AI server repair. Role and Responsibilities * Support the design, integration, installation, commissioning ...

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Ai Automation Engineer information

See Texas salary details

$34.5K

$99.8K

$151.9K

How much do ai automation engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai automation engineer in Texas is $99,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $115,100.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Texas?

For Ai Automation Engineer jobs in Texas, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Ai Automation Engineer job openings in Texas as of August 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $99,805 per year, or $48 per hour.

AI Automation Engineer

Tyndale

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Overview

Tyndale is looking for an Automation & AI Agent Engineer to design, build, deploy, and support intelligent automation solutions across Robotic Process Automation, Systems Integration, AI Agents, and Agentic AI solutions. This is a hands-on engineering role focused on improving business processes through scalable, reliable, production-ready automation.


Most of these solutions will be built using an iPaaS and automation platform such as Workato, Boomi, or Zapier. This role is intended for someone who is comfortable using those types of platforms as the primary way to develop automations, orchestrate workflows, connect systems, and enable AI-driven business processes. The focus is on practical delivery through configurable platforms and integrations, not on building everything from scratch in custom code.


This person will work across business and technical teams to identify automation opportunities, build solutions that connect systems and streamline work, and support the rollout of AI-driven capabilities that increase efficiency, accuracy, and speed. The role is focused on practical execution and measurable business value.


HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).


About Tyndale

The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector – including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We’re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We’re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.


Responsibilities

  • Design, build, test, deploy, and support automation solutions across RPA, systems integration, AI Agents, and Agentic AI workflows, primarily using an iPaaS or automation platform such as Workato, Boomi, or Zapier
  • Use platform-based tools, connectors, APIs, webhooks, and workflow orchestration capabilities to deliver scalable business automations
  • Partner with business stakeholders to understand current processes, identify pain points, and define high-value automation opportunities
  • Build and maintain integrations across internal and third-party platforms using APIs, connectors, authentication, data mapping, and event-driven workflows
  • Develop AI Agents and Agentic AI solutions within platform-based environments to retrieve context, execute tasks, orchestrate multi-step workflows, and involve human approvals when needed
  • Create automations that improve cycle time, reduce manual effort, increase accuracy, and improve the overall member and customer experience
  • Monitor automations and agent workflows in production, troubleshoot issues, resolve failures, and continuously improve performance and reliability
  • Establish and follow standards for testing, deployment, logging, exception handling, documentation, access control, and governance
  • Document technical designs, workflow logic, support procedures, and operational runbooks


Qualifications

Required Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
  • Minimum of 5 years of experience in automation engineering, integration engineering, RPA, business systems, software engineering, or a similar technical role
  • Hands-on experience building and supporting automation solutions in an iPaaS, workflow automation, or integration platform environment
  • Experience working with platforms such as Workato, Boomi, Zapier, or similar tools, and a strong understanding of how to use those platforms to design and deliver business automations
  • Experience building and supporting automation solutions in more than one of the following areas: RPA, systems integration, AI Agents, or Agentic AI solutions
  • Strong understanding of APIs, JSON, webhooks, authentication, system integrations, and workflow design
  • Experience using Python, JavaScript, or similar scripting languages for custom logic, transformations, or automation support where platform-native capabilities are not sufficient
  • Experience designing and deploying production-ready workflows with appropriate monitoring, controls, and support processes
  • Strong problem-solving skills with the ability to translate business needs into effective technical solutions
  • Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams


Preferred Qualifications:

  • Experience building AI-enabled workflows that use prompts, tools, knowledge sources, approvals, and exception handling
  • Experience with enterprise application environments involving ERP, CRM, HRIS, e-commerce, service management, or other business-critical platforms
  • Experience with automation governance, auditability, security, and lifecycle management


Benefits

  • Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  • Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  • Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
  • Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  • Culture & Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.


Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.

E.O.E


#LI-SP1 #LI-Hybrid

Company Description

The Tyndale Company, a private, consecutive Top Workplace winner in PA and TX and industry leading national supplier of arc-rated flame resistant (FR) clothing to the utilities, oil and gas, transportation, chemical manufacturing, molten metals, and NFPA 70E markets. We’re a family-owned, and certified woman-owned (WBE) business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We’re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.