AI Architect
Tasks
- Define operational standards and reliability practices
- Define target-state AI architecture across product lines
- Design LLM RAG and agent architectures
- Develop delivery roadmap and migrations
- Establish shared AI services
- Implement tenant isolation and PII protection
- Lead AI cost attribution and governance
- Lead centralized AI platform development
- Manage AI infrastructure and vendor decisions
- Mentor engineers on AI architecture and safe deployment
- Own evaluation and observability platforms
- Recruit and lead AI platform team
- Set architecture decision criteria and decision records
Perks/Benefits
Skills/Tech-stack
AI Security | Agent Frameworks | Amazon Bedrock | Amazon Web Services | Anthropic | Audit Logging | Autogen | Azure | Azure OpenAI | Cloud Architecture | Evaluation | Fine Tuning | GDPR | Infrastructure as Code | Kubernetes | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | Model routing | Multi-model | Multi-model routing | Observability | OpenAI | PII | Prompt injection | Retrieval-Augmented Generation | SLO | SOC 2 | SRE | Telemetry | Tenant Isolation | Vector Databases | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect
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