**PLEASE CAREFULLY READ ALL THE DETAILS BEFORE APPLYING***
Job Title: AI & Automation Engineer
Rate: TBD
Work Type: Remote, Full-time
Working Hours: Mon–Fri: 8am – 5pm CST
Start Date: TBD
JOB OVERVIEW:
The AI & Automation Engineer is responsible for the strategic design, development, and operational management of automation solutions, data pipelines, and AI-powered integrations. This role drives operational efficiency and business intelligence by leveraging modern tools including MCP servers, Claude AI, and Microsoft Copilot to deliver scalable, intelligent automation. The AI & Automation Engineer fosters a culture of innovation, accountability, and continuous improvement, while ensuring compliance with company policies and industry best practices.
JOB ROLE & RESPONSIBILITIES:
Strategic Leadership
- Define and execute the strategic roadmap for automation and data engineering in alignment with company goals.
- Partner with business and IT leadership to develop scalable automation and data solutions.
- Monitor industry trends and incorporate best practices to maintain competitive and efficient operations.
Solution Delivery & Operations
- Design, build, and maintain automation workflows to streamline IT and business processes.
- Develop, test, and deploy data pipelines for ETL (Extract, Transform, Load) operations.
- Integrate automation and data solutions with existing systems and applications.
- Design, deploy, and maintain MCP (Model Context Protocol) servers to extend AI capabilities and integrate Claude-powered tooling into business workflows.
- Leverage Claude AI and large language model capabilities to automate analysis, generate insights, and accelerate solution development.
- Monitor and optimize the performance of automation scripts and data flows.
- Ensure high availability and reliability of automation jobs and data pipelines.
- Maintain process documentation and contribute to knowledge base articles.
- Ensure compliance with security, regulatory, and industry best practices.
Team Leadership & Development
- Collaborate with cross-functional teams, providing technical guidance and mentorship.
- Share knowledge and best practices with team members.
- Support professional development and training initiatives related to automation and data engineering, and AI integration practices.
Stakeholder Relationship Management
- Work closely with business stakeholders, data analysts, and IT teams to gather requirements and deliver solutions.
- Communicate effectively with technical and non-technical stakeholders.
- Support project planning, status reporting, and solution presentations.
Process & Continuous Improvement
- Identify and implement improvements to operational workflows, automation frameworks, and data engineering practices.
- Leverage automation, documentation, and tools to increase efficiency and reduce manual effort.
- Track work, time entry, and project progress accurately and promptly.
- Stay current with emerging technologies in automation, data engineering, analytics, and AI/LLM tooling.
JOB REQUIREMENTS:
Knowledge, Skills, and Abilities
- Proficiency in scripting languages (e.g., Python, PowerShell, Bash) and automation platforms (e.g., Power BI, Power Automate).
- Experience with data engineering tools and frameworks (e.g., SQL, ETL tools, Azure Data Factory).
- Experience with Azure Copilot Studio and GitHub Copilot; ability to configure, customize, and govern AI Copilot experiences across the Microsoft 365 ecosystem.
- Hands-on experience designing and configuring MCP (Model Context Protocol) servers, including tool definitions, authentication, and integration with AI assistants such as Claude.
- Strong understanding of database systems (SQL/NoSQL), data modeling, and data integration.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and their automation/data services.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to document technical solutions and communicate effectively.
- Strong organizational and time management skills.
- Ability to multitask, adapt to changes quickly, and work effectively in a team environment.
Performance Metrics
- Uptime and reliability of automation jobs and data pipelines.
- Timeliness and quality of automation and data engineering deliverables.
- SLA and KPI adherence for automation and data services.
- Client and stakeholder satisfaction and feedback.
- Contribution to process improvements and team knowledge sharing.
- Adoption and effectiveness of AI/MCP integrations deployed for internal or client use.
Why Work with Gabtech Global, LLC
At Gabtech Global, we are committed to supporting our consultants and creating an environment where people can grow and succeed.
We uphold our core values:
- EXTRA MILE: We do more than what's expected of us.
- RELIABLE: We do what we say we'll do. No follow-ups are needed.
- TEAM PLAYER: We collaborate with each other to achieve our goals.
- GENUINE CARE: We do what we do because we want to, not because we have to.
- HUNGRY TO LEARN: We strive to be better every day.
