AI Automation Engineer - Internal Platform
Tasks
- Assess feasibility and ROI
- Build workflow automation with RPA and scripting
- Deploy and use governed cloud AI services
- Design configure and refine AI agents and workflows
- Identify AI automation opportunities
- Implement CI/CD testing and version control
- Implement guardrails monitoring and evaluation
- Integrate systems and data via APIs and connectors
- Optimize automations for performance reliability and cost
- Orchestrate retrieval reasoning actions and handoffs
- Participate in Agile planning and ceremonies
- Share best practices and run pilots for new tools
- Translate business problems into solution designs
- Write documentation and reusable templates
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | APIs | AWS | Agile | Azure | CI/CD | Cloud platform | Cloud services | Data Connectors | Evaluation | Git | Google Cloud | Google Cloud Platform | Monitoring | Prompt engineering | Python | RAG | RPA | Testing | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Engineering
Roles
AI | AI & Automation Engineer | AI Automation | Automation Engineer | Engineer
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