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Intelligent Automation Jobs in Texas (NOW HIRING)

Tupl Inc.

Telco Process Automation Consultant

Dallas, TX · On-site

$120 - $180/hr

In this role, you will lead end-to-end analysis of customer and network operational processes, identify value opportunities, and define transformation strategies through intelligent automation.

divcon

Automation Engineer (AI Systems)

Irving, TX · On-site

The Automation Engineer will identify, design, and deploy intelligent automation systems to eliminate manual processes and improve operational efficiency across the organization. Responsibilities ...

divcon

Automation Engineer (AI Systems)

Irving, TX · On-site

The Automation Engineer is responsible for designing and deploying intelligent automation systems that eliminate manual processes and enhance operational efficiency across the organization.

Node.Digital

AWS Data Automation Engineer

Arlington, TX · On-site

$140 - $200/hr

This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation. Responsibilities: * Develop automated data pipelines for technology ...

Vizient

AI & Decision Intelligence Director

Irving, TX

$135K - $236K/yr

Lead AI & Automation Innovation * Develop and execute the Revenue Intelligence AI, machine learning, and intelligent automation roadmap. * Identify, evaluate, and prioritize high-value AI and ...

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Intelligent Automation information

See Texas salary details

$34.5K

$99.8K

$151.9K

How much do intelligent automation jobs pay per year?

As of Aug 26, 2026, the average yearly pay for intelligent automation 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 intelligent automation?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

What are the key skills and qualifications needed to thrive in intelligent automation?

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What are some of the typical challenges faced in an intelligent automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

What are the most commonly searched types of Intelligent Automation jobs in Texas?

The most popular types of Intelligent Automation jobs in Texas are:

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

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

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

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

What cities in Texas are hiring for Intelligent Automation jobs?

Cities in Texas with the most Intelligent Automation job openings:

Intelligent Automation jobs near you
Infographic showing various Intelligent Automation job openings in Texas as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $99,805 per year, or $48 per hour.

Data & AI Automation Engineer (Databricks)

Austin, TX • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

Contractor

Re-posted 18 days ago

Job description

Position: Data & AI Automation Engineer (Databricks)

Location: Austin, TX (Locals preferred - Hybrid 3 Days Onsite Weekly)

Duration: Long-Term Contract

Required Skills: Azure Databricks, Azure Cloud, Generative AI, LLMs

Note: Looking for Permanent / Visa Independent Consultants

Overview:

We are seeking an experienced Data & AI Automation Engineer to lead the development of intelligent automation solutions within an Azure Databricks ecosystem. This role focuses on leveraging Large Language Models (LLMs), AI agents, and advanced automation techniques to enhance data engineering productivity, accelerate software delivery, and improve data quality processes.

The ideal candidate will combine strong data engineering expertise with AI-driven automation capabilities to build scalable solutions that streamline development, testing, governance, and operational activities across the data platform. Working closely with architects, engineers, and platform teams, this individual will help drive innovation through intelligent agent frameworks and automated workflows.

Key Responsibilities:

  • Architect and develop AI-powered agents using LLMs, rule-based logic, or hybrid approaches to automate data engineering operations within Azure Databricks.
  • Create automation solutions that generate, optimize, and refactor PySpark and SQL code to improve development efficiency and maintainability.
  • Design intelligent testing and validation agents to automate data quality assessments, reconciliation processes, and QA activities.
  • Implement automated governance capabilities including metadata management, lineage tracking, compliance monitoring, and policy enforcement.
  • Develop autonomous CI/CD functions such as test creation, deployment verification, release validation, and recovery/rollback procedures.
  • Build monitoring and diagnostic agents capable of detecting anomalies, identifying performance issues, and supporting root-cause investigations.
  • Establish prompt engineering standards, reusable templates, and agent orchestration patterns tailored to enterprise data platforms.
  • Partner with data engineering and architecture teams to identify automation opportunities and prioritize high-value initiatives.
  • Define and enforce best practices for AI agent lifecycle management, including development, testing, deployment, observability, and maintenance.
  • Produce technical documentation, workflow diagrams, operational procedures, and knowledge-transfer materials.
  • Evaluate emerging AI technologies, agent frameworks, and automation tools to support continuous platform improvement.

Required Experience:

  • 10+ years of experience in Data Engineering, Software Engineering, or a related technical discipline.
  • Extensive hands-on experience with modern cloud data platforms such as Azure Databricks, Snowflake, or similar technologies.
  • Proven background building AI-driven automation solutions utilizing LLMs, prompt engineering methodologies, and agent orchestration frameworks.
  • Strong programming expertise in Python and advanced SQL development within production environments.
  • Practical experience working with Azure Databricks, including notebooks, workflows, jobs, Delta Live Tables (DLT), and related services.
  • Experience implementing CI/CD and Continuous Testing (CT) pipelines using tools such as GitHub Actions and Azure DevOps.
  • Demonstrated success creating automated testing frameworks, data validation solutions, or quality assurance processes.
  • Previous experience supporting highly regulated, compliance-driven, or risk-sensitive environments is advantageous.

Technical Skills:

  • Advanced Python development skills with a strong foundation in software engineering principles, testing methodologies, documentation standards, and source control practices.
  • Expertise in SQL and PySpark performance tuning and optimization.
  • Hands-on experience integrating LLM services, AI APIs, prompt engineering techniques, and agent frameworks such as Databricks Agent Framework, LangChain, AutoGen, OpenAI, or Azure OpenAI.
  • Deep understanding of Azure Databricks, including Delta Lake, workflows, asset bundles, and enterprise-scale data processing.
  • Experience building workflow automation solutions using orchestration platforms, serverless technologies, or event-driven architectures.
  • Strong analytical skills with the ability to break down complex business and technical processes into scalable automation components.
  • Excellent communication skills with the ability to explain technical designs, AI agent architectures, and automation strategies to both technical and non-technical stakeholders.

Education:

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field.
  • Master’s degree preferred.