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Ai Implementation Jobs in Colorado (NOW HIRING)

Automation focus Summary as part of the Core Automation team, this role focuses on implementing AI-driven automation strategies across Physician Experience (PEX) engineering teams. The goal is to ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.

AWS Senior Architect

Denver, CO · On-site

$66.75 - $87.50/hr

This role focuses on designing and implementing AI-driven operational frameworks and cloud-native architectures to enable autonomous networks and intelligent automation. Responsibilities : • ...

Experience in edge AI implementation * Expertise in natural language processing * Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to CYMERTEK - And design ...

About Karbon Karbon is the global leader in AI-powered practice management software for accounting ... As an Implementation Specialist, you will lead customers through onboarding, data migration ...

As technology and AI continue to reshape the consulting landscape, we are looking for individuals ... You will guide the full implementation lifecycle including discovery, design, configuration ...

Senior Implementation Manager Company: Scholarly Software Location: Denver or Seattle metro area ... As institutions face a wave of digital transformation, our mission is to become the AI-native ...

Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data. * Build and deploy scalable, automated data science ...

Lead the design, development, and implementation of advanced machine learning, generative AI solutions across structured and unstructured data. * Build and deploy scalable, automated data science ...

Showing results 21-40

Ai Implementation information

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 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 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 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 AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
What cities in Colorado are hiring for Ai Implementation jobs? Cities in Colorado with the most Ai Implementation job openings:
Infographic showing various Ai Implementation job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Quality Analyst III

Sysazzle

Denver, CO • On-site

Other

Posted 27 days ago


Job description

Title: Quality Analyst III

Duration: 6 Months contract

Location: Denver, CO, 80202(Remote)

Description:

Automation focus

Summary as part of the Core Automation team, this role focuses on implementing AI-driven automation strategies across Physician Experience (PEX) engineering teams. The goal is to accelerate the delivery of our OneView platform (both Big Screen/Web and Small Screen/Mobile) by transitioning from traditional manual scripting to AI-accelerated automated workflows, leveraging advanced scripting tools and AI assistants to ensure the highest quality.

Essential Duties & Responsibilities

·        AI Implementation: Implement AI-based automation scripting using Windsurf and Katalon Studio AI Assist to reduce script authoring time for OneView UI and API tests by at least 50%.

·        Shift-Left Strategy: Integrate Playwright and Katalon early in the SDLC, enabling developers and QA to run automated "smoke tests" at the PR (Pull Request) level.

·        CI/CD Orchestration: Trigger and manage GitLab/Jenkins pipelines for test execution, ensuring automated reports are surfaced to leadership daily.

·        Support Automation: Support feature teams as needed.

Minimum Qualifications

·        Experience: Minimum 7 years of experience in QA Automation; zero "Manual QA" focus.

·        Scripting and Tool Expertise: Expert knowledge in Playwright, Katalon, Selenium, Sauce labs and ALM.

·        AI Proficiency: Recent, hands-on experience leveraging AI for scripting (Windsurf and Katalon Studio AI Assist).