AI Integration & Automation Engineer
Tasks
- Build and maintain data dashboards with Power BI and Google Data Studio
- Build automation workflows with Zapier Make and Power Automate
- Build dashboards and reports from the data lake
- Build internal AI applications and agents
- Build secure connections between DMS CRM and data lake
- Design and deploy AI agents in operational workflows
- Develop API integrations between systems and AI tools
- Encrypt access control and monitor data integrations
- Enforce least privilege access and rotate revoke credentials
- Ensure compliance with TCPA and CAN-SPAM
- Establish QA testing before rollout
- Evaluate AI vendors and lead tool migrations
- Harden test and maintain production applications
- Implement GitHub version control code review and CI CD
- Maintain documentation for integrations and automations
- Manage data lake and AI security API keys and credentials
- Model data lake schemas and manage data pipelines
- Monitor AI tool performance uptime and output quality
- Prototype and ship AI-enabled internal tools
- Provide internal automation advisory support
- Rebuild integrations when APIs or vendors change
- Respond to incidents by disabling and containing compromised integrations
- Set and monitor access controls across connected systems
- Train staff on AI and automation tools
- Troubleshoot integrations and automation failures
- Vet AI tools for data handling security and privacy
- Write scripts and applications for data pulls reporting and automation
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | API Keys | Access Control | Azure | CI/CD | Data Lake | Data Pipelines | Data Studio | Encryption | GitHub | GitHub Actions | Google Data Studio | JavaScript | Least Privilege | Make | OAuth | Power Automate | Power BI | Python | REST APIs | SQL | Smartsheet | Zapier
Education
N/A
Roles
AI | AI Engineer | AI Integration Engineer | Automation Engineer | Engineer | Integration Engineer
Regions
Countries
States
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