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Ai Implementation Jobs in Colorado (NOW HIRING)

EchoStar

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Figure out how to implement AI in the field via wearables, proactively pushing guidance and knowledge to technicians so they can provide a superior customer experience while operating more ...

EchoStar

AI Implementation Analyst

Englewood, CO

$83K - $118K/yr

Figure out how to implement AI in the field via wearables, proactively pushing guidance and knowledge to technicians so they can provide a superior customer experience while operating more ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

... • Experience in edge AI implementation • Expertise in natural language processing • ... Proficiency in computer vision techniques • Understanding of emerging AI/ML trends Company : With ...

STI

Artificial Intelligence ("AI") Architect

Denver, CO · On-site +1

This role will lead the development and implementation of a comprehensive AI framework for the State, ensuring responsible and beneficial use of AI across government agencies. Responsibilities: The ...

ClifyX

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 : • ...

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Ai Implementation information

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 popular job titles related to Ai Implementation jobs in Colorado?

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

What job categories do people searching Ai Implementation jobs in Colorado look for?

The top searched job categories for Ai Implementation jobs in Colorado are:

What cities in Colorado are hiring for Ai Implementation jobs?

Cities in Colorado with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Implementation Specialist

Colorado Springs, CO • On-site

Infojini Consulting
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Infojini Consultingexternal

$69.68/hr

Other

Posted 25 days ago

Job description

Below is the job description for the position. Position Title- 2- AI Adoption /Implementation Specialists / Architects(AI/ML /Gen AI/Agentic AI exp) Locations- 121 S Tejon St , Colorado Springs, CO 80903, USA Duration- 6-12 + months of Contract with more extension Mode of interview- Telephonic/Skype Client – Direct Client This is onsite Max Rate is W2: $69.68 Lead the development, design, and implementation of a Citywide artificial intelligence program that supports municipal operations, public service delivery, employee productivity, and responsible technology innovation. AI Implementation Specialist responsible for configuring and deploying AI agents to automate customer workflows and repetitive business processes. Develop and maintain an AI technology roadmap for the City, including current use of Microsoft Copilot and ChatGPT, and future evaluation or expansion into additional AI platforms such as Claude AI or other approved enterprise AI tools. Collaborate with City leadership, departments, legal, cybersecurity, procurement, and IT teams to establish AI strategy, governance, standards, and operating procedures. Identify, evaluate, and prioritize AI use cases across City departments, including opportunities to improve internal workflows, document drafting, knowledge management, customer service, data analysis, reporting, and employee efficiency. Design secure, scalable, and supportable AI service architectures that align with City technology standards, data governance requirements, cybersecurity controls, public-sector compliance needs, and existing enterprise systems. Lead AI pilot programs, proofs of concept, and phased implementations, ensuring solutions are properly evaluated for business value, technical feasibility, risk, cost, security, usability, and long-term support. Establish standards for responsible AI use, including acceptable-use guidelines, data protection requirements, human review expectations, prompt management practices, transparency, and appropriate handling of sensitive or restricted information. Partner with cybersecurity and data governance teams to assess AI-related risks, including data exposure, access control, records retention, third-party platform risks, model output reliability, and compliance with City policies. Provide senior-level technical leadership for integrating AI tools with City systems, productivity platforms, collaboration tools, knowledge repositories, service management processes, and approved cloud environments. Develop business cases and cost estimates for AI technologies, including licensing, infrastructure, implementation, training, vendor support, security review, ongoing administration, and enterprise support requirements. Coordinate with vendors, suppliers, consultants, and internal IT teams to evaluate AI products, negotiate technical requirements, review service capabilities, and ensure solutions meet City standards for security, accessibility, reliability, and maintainability. Create and support AI adoption plans, including employee training, communications, change management, department onboarding, user support models, and measurement of adoption, productivity gains, and service improvements. Communicate complex AI concepts, opportunities, risks, and recommendations to executive leadership, department stakeholders, technical teams, and non-technical users in a clear, practical, and business-focused manner. Monitor emerging AI technologies, public-sector AI trends, regulatory developments, vendor capabilities, and industry best practices to recommend improvements to the City's AI strategy and architecture. Provide leadership, mentoring, and technical guidance to IT staff and business partners on AI solution design, responsible use, implementation planning, operational support, and continuous improvement of the City's AI program.
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About Infojini

Sourced by ZipRecruiter

Infojini Consulting is a full service IT consulting, services, and staffing firm with offices in Linthicum Heights ,Maryland, Washington, DC and Mumbai, India. Infojini Consulting is recognized as one of the fastest growing IT services and software development Companies. With a partnership of all major technology vendors, Infojini Consulting has built a strong Government and commercial customer base including fortune 100 companies and most state and federal agencies such as State of North Carolina, State of South Carolina, State of Maryland, State of California, State of Pennsylvania, State of Virginia, State of Washington and many others.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Columbia, MD, US

Year founded

2006

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