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Full Time Ai Automation Jobs (NOW HIRING)

Diablo Convoy

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

In-Office Employment Type: Full-time Benefits: Medical, Dental, Vision, 401K Experience Level: Mid-level Overview: We are seeking a detail-oriented AI Analyst / AI Automation Specialist to support AI ...

Pavago

AI Automation Specialist

AI Automation Specialist (AI Workflows + Zapier + Make + OpenAI + Process Automation) Full-Time Remote U.S. Business Hours About the Role We're hiring a highly analytical and execution-focused AI ...

Gibson Homewares

AI Automation Specialist

Los Angeles, CA · On-site

$75K - $90K/yr

AI Automation Specialist LOCAL CANDIDATES ONLY Full-Time, based in Los Angeles, near downtown L.A., M-F in-office Gibson Homewares is hiring an AI Automation Specialist to audit departmental ...

Gibson Homewares

AI Automation Specialist

Los Angeles, CA · On-site

$75K - $90K/yr

AI Automation Specialist LOCAL CANDIDATES ONLY Full-Time, based in Los Angeles, near downtown L.A., M-F in-office Gibson Homewares is hiring an AI Automation Specialist to audit departmental ...

All Copy Products

Senior AI Automation Engineer

Denver, CO · On-site

$130K - $165K/yr

Senior AI & Automation Solutions Engineer All Copy Products | Denver, Colorado | Full-Time Hybrid Base salary range: $130,000-$165,000, plus benefits and any applicable bonus or incentive eligibility ...

New

WAI Global

Manager, AI Automation Engineer

Miramar, FL · On-site

Job Type Full-time Description About WAI Since 1978, WAI has grown from an entrepreneurial start-up ... WAI is investing in AI, automation, data, and digital capabilities that can improve how work gets ...

New

Dubin Law Group

Be Seen First

AI Automation & Systems Specialist

Seattle, WA · On-site

$30 - $45/hr

Compensation: $30/hr + DOE Schedule: Full-Time, Monday-Friday 9am-5pm Dubin Law Group is seeking an AI Automation & Systems Specialist to design, implement, and maintain AI-powered workflows, agents ...

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How much do full time ai automation jobs pay per year?

As of Jul 7, 2026, the average yearly pay for full time ai automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What jobs can I get with AI automation?

With AI automation skills, you can pursue roles such as AI engineer, machine learning engineer, data scientist, automation developer, and AI analyst. These jobs typically require knowledge of programming languages like Python, experience with AI frameworks, and understanding of automation tools and processes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve developing innovative AI solutions, managing teams, and may require expertise in programming, data analysis, and AI frameworks. Compensation at this level reflects the seniority and impact of the role within a company or industry.

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

To thrive as an AI Automation Specialist, you need strong programming skills (such as Python), a solid understanding of machine learning principles, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), automation tools (such as UiPath or Automation Anywhere), and cloud platforms is typically required, along with certifications in these technologies. Problem-solving abilities, attention to detail, and effective communication are crucial soft skills that help manage complex projects and collaborate across teams. These skills and qualities are important to design, implement, and maintain robust AI-driven automation solutions that drive efficiency and innovation for organizations.

What is a Full Time AI Automation job?

A Full Time AI Automation job involves working with artificial intelligence (AI) systems to automate tasks and processes within an organization. Professionals in this role design, develop, and maintain AI-driven solutions that can handle repetitive or complex tasks with minimal human intervention. This could include automating data analysis, customer service, business workflows, or manufacturing processes. Full-time positions typically require expertise in programming, machine learning, and understanding of automation tools. These roles are in high demand as companies look to improve efficiency and reduce costs through technology.

What are some common challenges faced by professionals in full-time AI automation roles, and how can they be overcome?

Professionals in full-time AI automation roles often encounter challenges such as integrating new AI solutions with legacy systems, managing data quality, and keeping up with rapidly evolving technologies. Effective communication with cross-functional teams is crucial to ensure that automation aligns with business objectives and addresses real-world problems. Staying proactive through continuous learning, collaborating closely with IT and business stakeholders, and utilizing agile methodologies can help overcome these challenges and drive successful automation projects.

How much can you make doing AI automation?

Full Time AI Automation roles typically offer salaries ranging from $70,000 to over $130,000 annually, depending on experience, location, and skill level. Professionals with expertise in machine learning, programming, and automation tools like Python or R can command higher salaries, especially in tech hubs or with specialized certifications.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in machine learning, programming, and data analysis. Careers in this area often offer competitive salaries, opportunities for advancement, and the chance to work on innovative technologies. Success typically requires continuous learning and familiarity with tools like Python, TensorFlow, or cloud platforms.
More about Full Time Ai Automation jobs
What cities are hiring for Full Time Ai Automation jobs? Cities with the most Full Time Ai Automation job openings:
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What job categories do people searching Full Time Ai Automation jobs look for? The top searched job categories for Full Time Ai Automation jobs are:
Full Time Ai Automation jobs near you
Infographic showing various Full Time Ai Automation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

AI Automation Engineer

Matrix Medical Management

Bellaire, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 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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