Staff Automation Engineer & AI Engineer
Tasks
- Define AI governance and LLMOps practices
- Define architecture and operational standards for workflow automation platforms
- Define automation operating model
- Define deployment approach for automations
- Define development security and information management practices
- Define integration patterns and API governance
- Define observability and incident management standards
- Design production grade AI workflows and agents
- Design reusable automation components and reference architectures
- Establish standards for logs metrics alerts and audit trails
- Establish standards for validated automation flows with reconciliation
- Evaluate and govern automation RPA workflow and AI orchestration tools
- Govern RPA tools and decide between RPA and APIs
- Govern human in the loop patterns for regulated workflows
- Implement retrieval-augmented generation
- Mentor and enable team members through standards and leadership by example
- Provide production support and troubleshooting for automations
- Set automation portfolio prioritization criteria
Perks/Benefits
- Flexible meal allowance
- Health and dental insurance
- Home-office allowance
- Life insurance
- Remote work
- Totalpass membership
Skills/Tech-stack
AWS | Audit trails | Automation Anywhere | Blue Prism | CrewAI | Docker | FinOps | Human-in-the-loop | Incident Management | Kubernetes | LLM integration | LLMOps | LangFlow | Langgraph | Multi LLM Integration | Multi-LLM | N8n | Observability | Power Automate | Python | RAG | REST APIs | RPA | Security Engineering | Semantic Kernel | Semantic Web | The Loop | UiPath | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Automation Engineer | Engineer | Staff Automation Engineer
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