AI Engineer & Architect
Tasks
- Build LLM-powered applications
- Build shared infrastructure for agents
- Conduct code reviews for agents
- Conduct ethics audits for high risk agents
- Create and maintain agent registry
- Define reference architectures for agent orchestration
- Design pre deployment evaluation harness
- Develop agentic automation workflows
- Establish standards for agentic development
- Implement model card standards
- Implement monitoring integrations and KPI dashboards
- Provide technical input for risk classification incident response and rollback
- Support citizen developers with technical mentorship
- Track agentic AI ecosystem and bring insights
Perks/Benefits
Skills/Tech-stack
AI Governance | AI RMF | Agent Orchestration | Agent communication | Anthropic API | Claude Code | Data Boundary Management | Enterprise platform | Enterprise platform engineering | Evaluation | HITL | ISO 42001 | Inter-agent communication | LLM Observability | Machine Learning | Memory Models | Monitoring | Multi-Agent | Multi-agent orchestration | NIST AI | NIST AI RMF | OpenAI API | Platform Engineering | Prompt engineering | RAG | System Architecture | Tool use
Education
N/A
Roles
AI | AI Architect | AI Engineer | Architect | Engineer
Regions
Countries
States
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