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Ai Implementation Jobs in Austin, TX (NOW HIRING)

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Implementation Specialist

Austin, TX · On-site

$90 - $120/hr

Internally, you'll partner closely with AI Agent Product Managers (who own net-new builds ... As an implementation specialist, you'll help scale what works -- owning implementations end-to-end ...

Apple

GBS Ops Global Compliance Lead

Austin, TX · On-site

$155K/yr

AI Implementation for Process Optimization: Requires the ability to identify inefficient processes and/or insufficient controls that can be improved by automation and AI. AI Risk Management:

Jobtailor

Implementation Specialist

Austin, TX · On-site

$110 - $160/hr

Use AI tools operationally to move faster and communicate better -- Claude for project planning and ... Identify and implement process improvements and automation opportunities that reduce ...

Dealpath

Implementation Manager

Austin, TX · On-site

As an Implementation Manager you will play a critical role in collecting and analyzing new customer ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

Dealpath

Implementation Manager

Austin, TX · On-site

As an Implementation Manager you will play a critical role in collecting and analyzing new customer ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

Dealpath

Implementation Manager

Austin, TX · On-site

As an Implementation Manager you will play a critical role in collecting and analyzing new customer ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

Apple

GBS Ops Global Compliance Lead

Austin, TX

$155K/yr

AI Implementation for Process Optimization: Requires the ability to identify inefficient processes and/or insufficient controls that can be improved by automation and AI. AI Risk Management:

Red Oak Compliance

Implementation Specialist

Austin, TX · On-site

$70 - $100/hr

Use AI tools operationally to move faster and communicate better -- Claude for project planning and ... Identify and implement process improvements and automation opportunities that reduce ...

Red Oak

Implementation Specialist

Austin, TX · On-site

$75 - $95/hr

Use AI tools operationally to move faster and communicate better -- Claude for project planning and ... Identify and implement process improvements and automation opportunities that reduce ...

Dealpath

Senior Implementation Manager

Austin, TX · On-site

As a Senior Implementation Manager, you will own end-to-end SaaS implementations for some of the ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

Dealpath

Senior Implementation Manager

Austin, TX · On-site

As a Senior Implementation Manager, you will own end-to-end SaaS implementations for some of the ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

Tror AI for everyone

Jira Administrator

Austin, TX · On-site

The person will manage Jira for multiple teams, create automated workflows, build integrations with other tools, and help implement AI-powered automation in Jira. Key Responsibilities 1. Jira ...

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All JobsAi Implementation JobsAi Implementation Jobs in Austin, TX

Ai Implementation information

See Austin, TX salary details

$38.7K

$102.6K

$166.5K

How much do ai implementation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai implementation in Austin, TX is $102,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $119,900.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the most commonly searched types of Ai Implementation jobs in Austin, TX?

The most popular types of Ai Implementation jobs in Austin, TX are:

What are popular job titles related to Ai Implementation jobs in Austin, TX?

For Ai Implementation jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Austin, TX look for?

The top searched job categories for Ai Implementation jobs in Austin, TX are:

What cities near Austin, TX are hiring for Ai Implementation jobs?

Cities near Austin, TX with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Austin, TX as of August 2026, with employment types broken down into 81% Full Time, 2% Temporary, and 17% Contract. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $102,608 per year, or $49.3 per hour.

District AI Implementation Specialist

Austin Achieve Public Schools

Austin, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an innovative and technical AI Specialist to operationalize the district’s AI strategy. Following a successful leadership pilot with Playlab, this role will serve as the primary "force multiplier" for our 415 employees. You will move beyond basic implementation to help Principals, Directors, and Teachers build custom applications, analyze complex assessment data, and ensure safe, compliant AI adoption across the district.


Key Responsibilities:


1. Technical Support & App Development

  • Context: Leadership requested "Someone to call when support is needed."
  • Act as the primary technical point of contact for district staff building tools in Playlab and other approved AI platforms.
  • Troubleshoot "DIY" projects created by school leaders, assisting with prompt engineering, logic flows, and debugging.
  • Partner with Special Education (SPED) and Intervention teams to build workflows that synthesize referral data and streamline IEP/504 processes as well as student assessment data at large


2. Data Analysis & Accountability

  • Context: High demand for "Accountability prediction" and "Data trends."
  • Design and manage AI workflows that analyze interim assessment data to project accountability ratings and TIA (Teacher Incentive Allotment) outcomes.
  • Move beyond text generation to create data-rich tools that help campus leaders visualize trends in student performance and attendance.
  • Automate routine administrative reporting to free up leadership time for instructional coaching.


3. Training & Professional Development

  • Context: Need for "AI Workshops" and "Best Practices" rollout.
  • Develop and facilitate ongoing training for the leadership team and broader staff (SY26/SY27 timeline).
  • Create a "Train the Trainer" model to empower campus champions.
  • Curate a library of "Best Practice" use cases (e.g., lesson planning, email automation, parent communication) to drive adoption.


4. Governance, Vetting & Ethics

  • Context: Leadership requested help "Vetting AI Vendors."
  • Serve as the gatekeeper for new AI tools, conducting privacy impact assessments and vendor vetting to ensure compliance with student data privacy laws (FERPA, COPPA, etc.).
  • Establish district-wide norms for responsible AI use, including academic integrity guidelines for students and ethical use policies for staff.
  • Monitor usage across the district to ensure cohesion and prevent "tool fatigue."


Qualifications:

  • Experience with Generative AI tools (ChatGPT, Claude, Gemini) and specific experience with "No-Code" app builders (Playlab experience is a strong plus).
  • Background in K-12 education data (understanding of STAAR, TIA, TELPAS, and accountability ratings is preferred).
  • Ability to translate complex technical concepts into simple language for educators.
  • Experience with data privacy and digital governance in an educational setting.


Why This Role Matters: You aren't just fixing computers; you are building the infrastructure that allows our educators to focus less on paperwork and more on our 2,800 students. You will turn our strategic vision into daily reality.


Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination/harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity, disability status, or veteran status. People of diverse backgrounds are strongly encouraged to apply.