ZipRecruiter

Log In

1

Ai Automation Engineer Jobs in Lancaster, SC (NOW HIRING)

Apptad, Inc.

Senior AI Automation Engineer

Fort Mill, SC · On-site

$97K - $127K/yr

Senior AI Automation Engineer Location: Fortmill, SC (Onsite) Duration: Contract Mandatory Skills * Agentic AI workflows * AI orchestration * API's & MCP integration Position Summary We are seeking a ...

GFR Technologies SE

Cloud Engineer

Mineral Springs, NC · On-site

$50 - $66.75/hr

Disenamos soluciones de negocio centradas en la inteligencia artificial (AI-Centric), modernizamos ... Que estamos buscando? Buscamos un/a Cloud Automation Engineer con solida experiencia en ...

Zortech Solutions

QA Automation Lead

Fort Mill, SC · On-site

Experience with Azure DevOps/TFS and JIRA * Agile/Scrum experience * Exposure to Mobile Testing is ... Hands-on experience with AI-powered testing/development tools such as GitHub Copilot, Microsoft ...

New

next page

Showing results 1-20

All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Lancaster, SC

Ai Automation Engineer information

See Lancaster, SC salary details

$31.6K

$91.4K

$139K

How much do ai automation engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ai automation engineer in Lancaster, SC is $91,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $105,300.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What cities near Lancaster, SC are hiring for Ai Automation Engineer jobs?

Cities near Lancaster, SC with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Lancaster, SC as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $91,364 per year, or $43.9 per hour.

Senior AI Automation Engineer

Apptad, Inc.

Fort Mill, SC • On-site

$97K - $127K/yr

Full-time

Posted 22 days ago

Job description

Job Title: Senior AI Automation Engineer
Location: Fortmill, SC (Onsite)
Duration: Contract
Job Description:
Mandatory Skills
  • Agentic AI workflows
  • AI orchestration
  • API's & MCP integration

Job Description:
Position Summary
We are seeking a highly skilled AI Automation Engineer to accelerate AI adoption and automation initiatives across multiple technology and business teams. The role will focus on designing, developing, and deploying AI-powered workflows, agentic automation frameworks, API integrations, and reusable accelerators that improve operational efficiency, reduce manual effort, and enable faster delivery across the enterprise.
Key Responsibilities
  • Design and implement AI-driven automation solutions to improve engineering and operational processes.
  • Develop AI workflows, agent orchestration frameworks, and automation pipelines using modern AI platforms.
  • Integrate LLMs, enterprise tools, and applications through APIs and workflow orchestration platforms.
  • Build Proof of Concepts (POCs), pilots, and reusable AI accelerators for enterprise adoption.
  • Create intelligent remediation and automation solutions to reduce manual effort across development and infrastructure teams.
  • Develop AI agents capable of performing multi-step tasks, decision-making, and workflow execution.
  • Collaborate with product, engineering, infrastructure, security, and operations teams to identify automation opportunities.
  • Establish best practices, governance, and reusable patterns for AI implementation.
  • Support enterprise modernization initiatives through AI-enabled process transformation.
  • Measure and report productivity gains, efficiency improvements, and business outcomes.

Required Skills
  • Strong experience in Python development.
  • Hands-on experience with Generative AI, LLMs, and AI Agent frameworks.
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
  • Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.
  • Experience integrating enterprise applications using REST APIs and SDKs.
  • Knowledge of API integration, authentication, token management, and workflow orchestration.
  • Experience with automation platforms such as Power Automate, Zapier, n8n, or similar.
  • Familiarity with cloud platforms (Azure, AWS, or GCP).
  • Experience with Git, CI/CD pipelines, and software development best practices.
  • Strong problem-solving and stakeholder communication skills.

Preferred Qualifications
  • Experience building enterprise AI agents and copilots.
  • Knowledge of development, infrastructure, security, or vulnerability remediation processes.
  • Experience implementing AI solutions for productivity improvement and process automation.
  • Understanding of enterprise architecture and system integration patterns.
  • Exposure to MLOps, observability, and AI governance frameworks.

Expected Outcomes
  • Accelerate AI adoption across multiple technology organizations.
  • Deliver reusable AI frameworks and automation accelerators.
  • Reduce manual engineering effort through intelligent automation.
  • Enable faster experimentation, innovation, and enterprise transformation.
  • Drive measurable productivity and efficiency gains across teams.

Experience
  • 8+ years of software engineering experience.
  • 3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation initiatives.
  • Prior experience leading enterprise automation or AI transformation initiatives preferred.
Apptad logo

About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

Social media

FacebookTwitter

View All Apptad Jobs

Apply