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Ai Automation Engineer Jobs in Spring, TX (NOW HIRING)

Automation Engineer

Houston, TX · On-site

$120 - $180/hr

... AI readiness. * Coordinate with Automation Project Engineering on Facilities projects, TARs ... project intake, FAT/SAT expectations, commissioning readiness, technical standards, and integrator ...

Innovation Position Overview We're seeking a mid-level Python Automation Developer to build ... Knowledge of AI agents and agentic workflows * Azure services knowledge * Healthcare or regulated ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

Position : QA Automation Engineer Location: Houston, TX (Hybrid) Duration: 12+ Months Contract ... Experience in AI testing and hands-on usage of AI MCPs is preferred. * Key responsibilities include ...

QA Automation Engineer

Houston, TX · On-site

$48 - $50/hr

Our client is currently seeking a QA Automation Engineer We are seeking a QA Automation Engineer ... Utilize modern AI tools such as Claude or GitHub Copilot to accelerate test development and ...

Job#: 3047208 NextThink Automation Engineer Location: Spring, Texas (Onsite) Role Overview We are ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Showing results 21-40

Ai Automation Engineer information

See Spring, TX salary details

$32.9K

$95.3K

$145.1K

How much do ai automation engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai automation engineer in Spring, TX is $95,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $109,900.00 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 Spring, TX?

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

What job categories do people searching Ai Automation Engineer jobs in Spring, TX look for?

The top searched job categories for Ai Automation Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Automation Engineer jobs?

Cities near Spring, TX with the most Ai Automation Engineer job openings:

Infographic showing various Ai Automation Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,331 per year, or $45.8 per hour.

Automation Engineer

Talos Energy LLC

Houston, TX • On-site

$120 - $180/hr

Other

Posted 12 days ago


Job description

Automation Engineer - Offshore Operations

Talos Energy is a leading energy company focused on offshore oil and gas exploration and production as well as the development of future carbon capture and storage opportunities in the United States Gulf Coast, Gulf of America and offshore Mexico. We provide safe, reliable and responsible energy production that powers our world and delivers energy prosperity to modern life, while simultaneously applying core skill sets to develop large-scale decarbonization projects to reduce industrial emissions. Locations for this role could be in Houston, TX or Lafayette, LA.

DUTIES & RESPONSIBILITIES:

The Automation Engineer provides asset-aligned Automation support for offshore Operations, including troubleshooting, MOC support, PLC/HMI/SCADA support, project and commissioning support, vendor coordination, standards adherence, documentation quality, and control system reliability improvement. This role serves as the primary Automation focal point for assigned assets and works closely with Operations, I&E, Facility Engineering, IT, OT Systems, Data/Historian, vendors, and integrators to safely support and improve offshore production systems.

  • Serve as the primary Automation focal point for assigned offshore assets and maintain awareness of asset-specific PLCs, HMIs, SCADA systems, historian interfaces, control networks, alarm/shutdown logic, vendor packages, and support needs.
  • Assist field personnel and Operations in troubleshooting issues and provide clear direction for remediation during daily support, offshore execution, after-hours events, and time-sensitive operational issues.
  • Lead structured troubleshooting for PLC, HMI, SCADA, communications, instrumentation interface, alarm, shutdown, package equipment, and historian data issues. Differentiate between instrumentation, logic, HMI display, network, historian, vendor package, and process-related issues.
  • Support common communications protocols including Ethernet I/P, Modbus, ControlNet, HART, and OPC.
  • Review MOCs for Automation, I&E, controls, alarms, shutdown logic, historian, HMI, cybersecurity, networking, and commissioning impacts. Identify hidden Automation/I&E scope early in Facilities, Subsea, Operations, and maintenance-driven changes.
  • Support MOC and project closeout by verifying drawings, logic backups, HMI backups, configuration records, redlines, test records, and final documentation are updated and complete.
  • Source, select, and manage vendors in the operational technology (OT), automation, and system integration space. Set clear scope, specification, schedule, documentation, testing, and closeout expectations with vendors and integrators.
  • Participate in project lifecycle activities including project definition, FEED and design basis, concept selection, material specification, engineering, implementation, validation and testing, FAT/SAT, installation, commissioning, startup, maintenance, and closeout.
  • Coordinate with OT Systems & Cybersecurity on OT networks, servers, VMware environments, backups, patching, remote access, cyber remediation, and recovery needs for assigned assets.
  • Coordinate with OT Historian & Data Reliability on historian tag issues, PI/OPC interfaces, stale or bad data, data quality concerns, operational context, and sensor gaps for optimization or AI readiness.
  • Coordinate with Automation Project Engineering on Facilities projects, TARs, project intake, FAT/SAT expectations, commissioning readiness, technical standards, and integrator execution.
  • Document root cause, corrective action, and follow-up actions after significant failures, recurring issues, or events affecting safety, production, reliability, cybersecurity, or data quality.
  • Read, understand, and propose modifications to:
    • P&IDs
    • Cause & Effects charts
    • SAFE Charts
    • Wiring schematics
    • System specifications
    • Register Maps
    • Controls Narratives
    • System/network architectures
    • PLC/HMI backup and configuration documentation
  • Actively participate in specifying, improving, and enforcing Talos standards around:
    • PLC hardware and software
    • HMI hardware and software
    • PLC logic structure
    • HMI interface design
    • Alarm management and control room usability
    • Flow measurement and flow computers
    • Installation standards
    • Instrumentation & controls elements (I/O)
    • Networking and communications devices
    • Remote access and vendor connectivity expectations
    • Documentation and project closeout requirements
  • Follow OT cybersecurity standards for remote access, vendor connectivity, account management, backups, patching, segmentation, and change control. Identify cybersecurity concerns related to PLCs, HMIs, engineering workstations, outdated operating systems, unsupported hardware/software, and unmanaged connectivity.
  • Maintain asset-level Automation action lists, risks, obsolescence concerns, vendor issues, documentation gaps, and follow-up items for assigned assets.
  • Ability to specify instrumentation & controls elements and materials.
  • Ability to program and test control and HMI logic.
  • Ability to inspect, verify, and document instrumentation & controls field work quality.
EDUCATION & EXPERIENCE:
  • Bachelor’s degree in mechanical engineering, electrical engineering, industrial technology, automation, computer engineering, or related technical field.
  • 5+ years of automation, controls, SCADA, or OT experience in oil & gas, industrial operations, manufacturing, or process control environments. Offshore oil & gas experience strongly preferred.
  • Experience supporting live production assets with PLC, HMI, SCADA, historian, instrumentation, and vendor package interfaces.
  • Familiar with the principles of offshore production automation, including process control, safety systems, fire & gas systems, shutdown logic, and emergency shutdown (ESD) systems.
  • Ability to read, troubleshoot, and develop common PLC logic and HMI/SCADA displays.
  • Familiar with offshore control room HMI/SCADA design, historian architectures, alarm management, and control room usability concepts.
  • Familiar with networking, process control and business network segregation, remote access, and OT cybersecurity expectations.
QUALIFICATIONS & SKILLS:
  • Must have the ability to interface with all areas of Talos’ operations, including offshore Operations, I&E, Facility Engineering, Production Engineering, Subsea, IT, Cybersecurity, project execution teams, vendors, and integrators.
  • Strong troubleshooting discipline with the ability to identify root cause, corrective action, and follow-up requirements.
  • Strong leadership qualities, self-initiative, ownership mindset, and follow-through in project development, execution, monitoring, and closeout.
  • Knowledgeable of and experienced with offshore production facilities and schedule-driven work environments.
  • Clear written and verbal communication and presentation skills.
  • Ability to organize and prioritize a diverse and heavy workload across daily Operations support, MOCs, projects, documentation, and offshore needs.
  • Ability to work independently while keeping leadership, stakeholders, and field personnel aligned on status, risks, decisions, and next actions.
  • Recognize personal strengths and weaknesses and be proactive in self-development.
  • Have a strong sense of integrity and the ability to deal with ethical situations effectively.
  • Proficient in Microsoft Office. Experience with Teams, SharePoint, or similar project/documentation tools preferred.
  • Willingness to travel offshore and provide after-hours support as required.
PREFERRED TECHNICAL EXPERIENCE:
  • Rockwell / Allen-Bradley ControlLogix, CompactLogix, Studio 5000, FactoryTalk View, PanelView, or related platforms.
  • Emerson DeltaV, Ignition, Wonderware / AVEVA, OSIsoft / AVEVA PI, OPC, Kepware, or similar SCADA/HMI/historian platforms.
  • Industrial Ethernet, managed switches, firewalls, VLANs, remote access, and basic control system network troubleshooting.
  • Windows Server, VMware, backup systems, domain services, engineering workstations, and virtualized OT environments.
  • Fire & Gas, ESD, safety system interfaces, package controls, flow computers, and measurement systems.
CERTIFICATES & LICENSES:
  • There are no certificates, licenses, or registrations required for this position. Relevant automation, control system, networking, cybersecurity, or vendor-specific certifications are preferred.
PHYSICAL REQUIREMENTS:
  • Employee must be able to sit for extended periods of time and have use of arms and hands in repetitive motion. A fair amount of standing and walking is also required for the position. Offshore travel may require meeting applicable offshore travel, safety, and physical requirements.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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