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Ai Automation Engineer Jobs in Texas (NOW HIRING)

Elara Caring

AI Automation Engineer II

Houston, TX · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Elara Caring

AI Automation Engineer II

Austin, TX · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Elara Caring

AI Automation Engineer II

Austin, TX · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Elara Caring

AI Automation Engineer II

San Antonio, TX · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Elara Caring

AI Automation Engineer II

San Antonio, TX · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Elara Caring

AI Automation Engineer II

Houston, TX · On-site

This means you have countless ways to make a difference as a AI Automation Engineer II . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Tyndale

AI Automation Engineer

Houston, TX · Hybrid

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 ...

Tyndale

AI Automation Engineer

Houston, TX · On-site

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 ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Texas

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 Aug 10, 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 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.

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 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 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:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation 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 $99,805 per year, or $48 per hour.

AI Automation Engineer

Digacore Technology Consulting

Austin, TX • On-site

$120K - $150K/yr

Full-time

Posted 14 days ago

Job description

AI Automation Engineer
About Digacore
At Digacore, we help businesses operate smarter through technology, automation, and exceptional support. We're a fast-paced, people-first MSP that blends IT, development, automation, and client experience into one collaborative environment - with real career growth, autonomy to own your work, and leadership that values innovation and practical solutions over bureaucracy.
We're looking for a hands-on AI Automation Engineer - a strong programmer with 5-7 years of software development experience who is AI-native and energized by building real workflows that save time and money. This is a mid-level to senior individual-contributor build role, not a consulting or architecture role: you design and ship AI-augmented automations end to end, writing the code, wiring the integrations, and standing up the workflows yourself using tools like Claude, n8n, and Power Automate. You'll work shoulder-to-shoulder with internal teams and clients to turn manual, high-friction processes into reliable automations - and tag a measurable ROI to everything you build.
What You'll Do
  • Design, build, and ship AI-augmented workflows and automations end to end - you write the code and own the delivery
  • Build with Claude (Code, Skills, Agent SDK), n8n (AI nodes/agents), and Power Automate - leaning on Claude as your pair-programmer
  • Write and maintain the scripts, API calls, and integrations that glue Claude, Microsoft 365, SharePoint, internal tools, and third-party systems together (REST, JSON, webhooks)
  • Create reusable Claude Skills, Agents, and Cowork plugins tailored to specific departments and use cases
  • Tag a measurable metric to every workflow you build - estimated hours saved, manual steps reduced, runs executed, user adoption - and do the math to show impact
  • Prototype quickly, gather user feedback, and iterate to production - ship working automations, not slide decks
  • Debug, test, and harden your own builds; write clear documentation so other team members and clients can use, support, and extend them
  • Partner with senior developers to take prototypes to production-ready workflows, and translate business problems into scoped solutions and well-written tickets
  • Communicate clearly and professionally with stakeholders and end users during discovery, demos, and rollout

What You Bring
Required Skills & Experience
  • 5-7 years of professional software development / programming experience, including 2+ years building automation or AI/LLM-powered features - a confident, hands-on coder who ships production-quality work (mid-level to senior individual contributor)
  • Strong programming skills in at least one modern language (e.g., Python, JavaScript/TypeScript, or C#) and comfort working across the stack
  • Hands-on experience building automations and integrations end to end - whether low-code (n8n, Power Automate, Zapier/Make) or code-first
  • Hands-on experience building with LLM APIs (Claude, OpenAI, or similar), including prompt engineering
  • Solid API and integration experience - REST, JSON, webhooks - and the ability to script systems together
  • An ROI mindset - you instinctively ask "how much time does this save?" and can tag a metric to the work
  • Strong troubleshooting and research instincts, and the ability to pick up new tools, models, and APIs quickly
  • Excellent written and verbal communication; comfortable working directly with end users and presenting your work
  • Authorized to work in the US and able to work a hybrid schedule out of our Lakewood, NJ office (remote considered for the right person)
  • Willingness to ramp on our MSP and client context

Preferred Skills & Experience
  • Hands-on experience with n8n (ideally with AI nodes/agents) or Power Automate (ideally with Copilot)
  • Direct experience using Claude (Claude.ai or Claude Code) as a build and pair-programming tool
  • MSP or other multi-client / service-business experience
  • Experience with additional LLM platforms and APIs (OpenAI, Azure OpenAI) and prompt engineering best practices
  • Familiarity with Microsoft 365, SharePoint, and the Power Platform
  • Experience working with databases such as Supabase, Postgres, or SQL Server
  • Familiarity with Node.js, React, or other modern frameworks
  • Experience supporting operational workflows or internal business systems

The Right Mindset
We care just as much about mindset as technical ability. The ideal person for this role:
  • Is genuinely excited about AI and treats new models, tools, and patterns as opportunities, not threats
  • Loves building and shipping - happiest when something they built is working in production
  • Thinks in terms of outcomes and ROI, not just tickets closed
  • Can stay calm and professional when clients are stressed or systems are misbehaving
  • Has a "white glove" approach to customer service
  • Balances speed with care - ships quickly, but tests and documents what they build
  • Wants to grow into a senior AI automation / agent engineering role over time

How You'll Be Measured
  • Number and quality of AI/automation workflows shipped per quarter
  • Documented hours and dollars saved across the workflows you build
  • Reliability and maintainability of the automations you put into production
  • End-user adoption and satisfaction with what you deliver
  • Growth in your technical depth across Claude, n8n, and the broader AI toolchain

Growth Path
This role starts as a hands-on individual contributor with a clear runway. As you grow, there's a path into a senior AI automation / agent engineering role, or toward technical leadership within the Development & Automation (D&A) team.
Compensation & Location
  • Compensation: $120,000-$150,000, DOE
  • Location: New Jersey (Lakewood) hybrid preferred; remote considered for the right person

Apply