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Ai Implementation Jobs in Columbia, SC (NOW HIRING)

Provide technical expertise in the evaluation, design, and responsible implementation of Artificial Intelligence (AI) solutions. * Support the development and execution of AI strategies aligned with ...

Partner with stakeholders to implement system enhancements, AI, and automation opportunities * Maintain comprehensive documentation of support processes and procedures Sound Like You? Required ...

AI Engineer

Columbia, SC · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Design, implement, and govern advanced AI-enabled security capabilities that predict and neutralize unknown threats in real time. * Build defensive AI architecture to automate alert triage. * Apply ...

Design, implement, and govern advanced AI-enabled security capabilities that predict and neutralize unknown threats in real time. * Build defensive AI architecture to automate alert triage. * Apply ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

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Ai Implementation information

See Columbia, SC salary details

$36.1K

$95.8K

$155.4K

How much do ai implementation jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai implementation in Columbia, SC is $95,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $111,900.00 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 popular job titles related to Ai Implementation jobs in Columbia, SC?

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

What job categories do people searching Ai Implementation jobs in Columbia, SC look for?

The top searched job categories for Ai Implementation jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Ai Implementation jobs?

Cities near Columbia, SC with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Columbia, SC as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $95,769 per year, or $46 per hour.

AI consultant.

Accord Technologies Inc.

Columbia, SC • On-site

Contractor

Posted 25 days ago


Job description

Title: AI consultant/Architect
Location: Columbia, SC
Position type: W2 contract

Job Description
  • Provide technical expertise in the evaluation, design, and responsible implementation of Artificial Intelligence (AI) solutions.
  • Support the development and execution of AI strategies aligned with organizational goals and business objectives.
  • Participate in AI use-case and vendor review processes, ensuring compliance with established governance, security, privacy, and operational standards.
  • Promote the adoption of standardized AI processes, frameworks, and best practices across the organization.
  • Design secure AI architectures and develop reusable technical patterns for enterprise AI implementations.
  • Develop AI use cases, prototypes, proof-of-concepts, and feasibility assessments to validate AI solutions.
  • Evaluate AI products, platforms, tools, models, and services to determine technical feasibility and business value.
  • Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions.
  • Work with generative AI platforms including ChatGPT, Microsoft Copilot, and similar technologies.
  • Utilize AI-assisted coding tools to accelerate software development, testing, debugging, and documentation.
  • Define AI success criteria, key performance indicators (KPIs), and production monitoring measures.
  • Develop dashboards and reports to measure AI adoption, performance, cost, risk, and operational outcomes.
  • Integrate AI capabilities with Microsoft Azure and AWS cloud environments.
  • Assist business units in identifying AI opportunities, assessing risks, and implementing secure AI solutions.
  • Maintain expertise in emerging AI technologies, industry trends, and enterprise AI best practices.
  • Communicate technical concepts effectively through documentation, presentations, and knowledge-sharing sessions.
  • Support complex AI initiatives while collaborating with cross-functional technical and business teams. 
Required Qualifications
  • Undergraduate degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree preferred.
  • 1+ year of proven experience establishing proof-of-concept success criteria and evaluating AI solutions against defined criteria.
  • 2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms.
  • 2+ years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions.
  • 1+ year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
  • 1+ year of experience defining AI use-case success criteria, Key Performance Indicators (KPIs), and production monitoring measures.
  • 1+ year of experience building dashboards and reports for AI adoption, performance, cost, risk, and operational outcomes.
  • 1+ year of hands-on experience integrating AI capabilities with Microsoft Azure and AWS.
  • Strong communication, technical documentation, and knowledge-transfer skills.
  • Advanced report writing and presentation skills.
  • Experience working on complex technical projects. 
Preferred Skills
  • Background in a variety of programming languages and programming principles.
  • Familiarity with Artificial Neural Networks (ANNs), transformers, Natural Language Processing (NLP), image classification, and time-series data.
  • Experience with data tools and techniques for storing, retrieving, and cleaning data.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Experience supporting enterprise AI strategy, governance, and implementation initiatives.