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

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 ...

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 ...

Quora

AI Automation Engineer -Remote

Houston, TX · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our ...

Quora

AI Automation Engineer -Remote

The Woodlands, TX · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our ...

Diablo Convoy

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 ...

Diablo Convoy

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 ...

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Showing results 1-20

All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Spring, TX

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 Jul 14, 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 are AI Automation Engineers?

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 some 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 are the key skills and qualifications needed to thrive as an AI Automation Engineer, and why are they important?

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 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:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $95,331 per year, or $45.8 per hour.

AI Automation Engineer

Matrix Medical Management

Bellaire, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Matrix Medical Management is looking for a full-time AI Automation Engineer to join our team in our Bellaire office!
SUMMARY: The AI and Automation Engineer is responsible for designing, developing, testing, deploying, and maintaining AI and automation solutions across the enterprise. This is a hands-on individual contributor engineering role, with primary responsibility for delivering production-grade solutions. The role builds Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI), configures Microsoft Dynamics 365, enables Microsoft 365 Copilot capabilities, and develops AI-powered workflows in close partnership with Operations. The AI and Automation Engineer is also responsible for supporting alignment of AI initiatives with organizational priorities, governance requirements, and operational readiness within a healthcare environment.
ESSENTIAL FUNCTIONS:
  • Build, manage, and continuously refine a pipeline of AI use cases aligned to business priorities.
  • Partner with stakeholders to identify high-impact opportunities for AI-driven efficiency, quality, and growth.
  • Evaluate opportunities based on feasibility, risk, and return on investment.
  • Coordinate cross-functional review of AI initiatives with legal, compliance, IT, security, and data teams.
  • Ensure adherence to organizational policies, regulatory requirements, and ethical AI standards.
  • Support the development and enforcement of AI governance frameworks.
  • Assess and recommend third-party AI solutions in partnership with procurement and IT.
  • Monitor vendor performance and alignment with business needs.
  • Lead workflow-focused implementation of AI solutions in partnership with business and technical teams.
  • Design, build, and maintain Microsoft Power Apps and Power Automate flows that streamline operational workflows, including credentialing, intake, referral management, internal requests, and cross-team handoffs.
  • Develop Power BI dashboards for executive, operations, finance, and clinical leadership, with appropriate row-level security and governed data sources.
  • Configure and extend Microsoft Dynamics 365 for internal business use cases, including referral tracking, case management, and patient-relationship workflows.
  • Lead Microsoft 365 Copilot rollout, enablement, and measurement — train teams, build internal playbooks, and track utilization and time-saved metrics.
  • Design and maintain AI-based workflows for HR, Finance, Legal, and executive teams, supporting use cases such as policy drafting, contract review, and document analysis.
  • Build lightweight integrations (Python, JavaScript, or low-code) between AI tools and internal systems, with appropriate safeguards for PHI, least-privilege access, audit logging, and applicable vendor agreements.
  • Drive change management and user adoption efforts to ensure successful deployment.
  • Develop best practices and playbooks for scaling AI solutions across teams.
  • Track outcomes, performance metrics, and business impact of AI implementations.
  • Monitor post-go-live performance and identify opportunities for optimization.
  • Report on AI program effectiveness to leadership.
  • Perform other related tasks as needed.
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Knowledge of healthcare operations, including clinical and administrative workflows, and how AI and digital tools can be applied to improve them
  • Understanding of AI applications in business environments, including use cases, limitations, risks (e.g., bias, hallucination), and responsible AI principles
  • Knowledge of digital transformation, process improvement methodologies, and technology adoption lifecycle
  • Knowledge of data privacy, security, HIPAA requirements, and AI governance, risk, and compliance frameworks
  • Strong program and project management skills, including managing multiple concurrent initiatives and driving execution from pilot through enterprise scale
  • Process improvement and workflow optimization skills, with a focus on operational efficiency and user experience
  • Ability to evaluate and prioritize opportunities using business case development, ROI analysis, risk assessment, and KPI-driven performance tracking
  • Vendor evaluation and management skills, including assessment of third-party AI solutions
  • Strong communication skills, including the ability to translate complex technical concepts into clear business language
  • Strong stakeholder engagement skills, with the ability to navigate complex organizational structures and drive cross functional alignment
  • Ability to translate business needs into scalable, practical AI-enabled solutions
  • Ability to operate effectively in ambiguity and a rapidly evolving technology landscape while balancing innovation, risk, compliance, and operational constraints
  • Ability to work across business, technical, and governance stakeholders to ensure alignment and accountability from pilot through full-scale implementation
  • Demonstrated hands-on experience building in the Microsoft Power Platform: Power Apps (canvas and model driven), Power Automate, and Power BI (data modeling, DAX, row-level security, publishing)
  • Working proficiency in Microsoft Dynamics 365 configuration and customization — entities, business process flows, security roles, and integrations
  • Working proficiency with Microsoft 365 Copilot, including rollout, governance, and user enablement
  • Hands-on experience designing Claude-based (or comparable LLM) workflows — prompt engineering, prompt libraries, API usage, and connector or orchestration patterns
  • Light-to-moderate scripting ability (Python and/or JavaScript) for integrations, data transformation, and automation glue
  • Familiarity with Microsoft identity, access, and audit tooling (Entra ID / Active Directory, Purview, M365 audit logs); working knowledge of healthcare operations, credentialing, and revenue cycle basics
EDUCATION AND EXPERIENCE:
  • Bachelor’s degree in Information Systems, Computer Science, or Health Informatics also qualify; equivalent demonstrated hands-on experience may substitute for a degree
  • Five (5) years of experience in business process improvement, digital transformation, product/program management, or related roles and;
  • At least two (2) of the five (5) years of experience should include shipping production solutions on the Microsoft Power Platform and/or with LLMs (Claude or comparable); a portfolio or work samples are strongly preferred at interview
BENEFITS:
  • 3 Medical Plans
  • 2 Dental Plans
  • 2 Vision Plans
  • Employee Assistant Program
  • Short- and Long-Term Disability Insurance
  • Accidental Death amp; Dismemberment Plan
  • 401(k) with a 2-year vesting
  • PTO + Holidays
Please visit our website for more information:
www.matrixmedicalmgmt.com
At Matrix Medical Management, we specialize in delivering customized business solutions designed to enhance the efficiency, compliance, and financial success of medical practices across Texas. Our expertise allows healthcare providers to focus on what matters most, delivering high-quality patient care, while we handle the complexities of practice management.
Compensation to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
Employment for this position is contingent upon the successful completion of a background check and drug screening.

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