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Ai Implementation Jobs (NOW HIRING)

Oneleet Inc

Fullstack Engineer, AI Implementation

$110K - $180K/yr

Implement robust error handling and fallback behaviors when AI services are unavailable or return unexpected results * Create feedback loops that capture user interactions with AI features to drive ...

BeiGene, Inc.

Senior Manager, AI Implementation

The Global Commercial and Medical Affairs Technology team at BeOne is seeking a Senior Manager, AI implementation to help operationalize AI capabilities across Commercial and Medical teams. This role ...

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How much do ai implementation jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ai implementation in the United States is $103,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $121,000.00 per year, depending on experience, location, and employer.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

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.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

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 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.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
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Ai Implementation jobs near you
Infographic showing various Ai Implementation 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 $103,518 per year, or $49.8 per hour.
District AI Implementation Specialist

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.