CB_PL: AI Automation Specialist

This is a remote position.

About the role

The AI Automation Specialist is responsible for designing, developing, implementing, and maintaining AI-powered automation solutions that improve business efficiency, reduce manual work, and streamline operational processes. This role combines artificial intelligence (AI), workflow automation, and system integration to automate repetitive tasks, enhance productivity, and support data-driven decision-making.

The specialist works closely with different departments to identify automation opportunities, integrate AI tools into existing systems, and ensure that automated workflows are reliable, secure, scalable, and aligned with business objectives.

Key responsibilities

- Identify business processes that can be improved or automated using AI and workflow automation tools.

- Design, build, test, and maintain automated workflows using platforms such as Make, Zapier, n8n, Microsoft Power Automate, or similar tools.

- Integrate AI models and services, including large language models (LLMs), into business applications and operational workflows.

- Develop AI-powered solutions for tasks such as document processing, data extraction, content generation, customer support, lead qualification, and reporting.

- Connect applications and systems using APIs, webhooks, and third-party integrations.

- Use Python, JavaScript, or other programming languages to develop custom automation scripts when necessary.

- Evaluate and recommend AI tools, automation platforms, and technologies based on business needs.

- Monitor automation performance, troubleshoot errors, and optimize workflows for accuracy, speed, and cost efficiency.

- Implement data validation, error handling, access controls, and safeguards to ensure reliable and responsible AI use.

- Document workflows, technical processes, system configurations, and standard operating procedures.

- Collaborate with operations, marketing, sales, IT, and other teams to implement automation solutions.

- Stay updated on emerging AI technologies, automation platforms, and industry best practices.

Requirements

Essential experience

Typically 2–4 years of experience in workflow automation, software development, systems integration, or a related technical role, with practical AI implementation experience.

AI Tools and LLM Integration – Ability to use AI models and APIs to automate tasks and improve business processes.

Workflow Automation – Proficiency in tools such as Make, Zapier, n8n, or Microsoft Power Automate.

API Integration and Webhooks – Ability to connect different applications and automate data exchange between systems.

Programming Skills – Basic to intermediate knowledge of Python or JavaScript for custom automation and scripting.

Prompt Engineering – Ability to create and optimize prompts to produce accurate, consistent AI outputs.

Problem-Solving and Analytical Thinking – Ability to identify repetitive tasks and develop efficient automation solutions.

Data Management – Understanding of JSON, spreadsheets, databases, and data validation.

Testing and Troubleshooting – Ability to identify errors, debug workflows, and ensure automation runs reliably.

Systems Integration – Ability to connect business tools such as CRMs, email platforms, databases, and project management systems.

Data Privacy and AI Security – Understanding of data protection, access controls, and responsible AI implementation.

Desirable experience

Prior experience implementing AI automation solutions, integrating APIs and business applications, and building workflows using no-code or low-code automation platforms is highly desirable.

Benefits

Training and support

- Provide onboarding and training on the company's AI tools, automation platforms, business systems, and internal workflows.

- Offer access to relevant documentation, learning resources, and technical guidance for AI and automation technologies.

- Collaborate with IT, operations, and department heads to identify automation opportunities and implement solutions.

- Provide support during testing, deployment, troubleshooting, and ongoing optimization of automation workflows.

- Encourage continuous learning on emerging AI tools, automation practices, data security, and responsible AI usage.

Role boundaries

· Develop and maintain AI automation solutions within the approved scope of work.

· Coordinate with relevant teams to ensure automation meets business requirements.

· Obtain approval before implementing major system changes or high-impact automated decisions.

· Escalate complex technical issues, security risks, and system failures to the appropriate team.