Head of AI Engineering (f/m/x)
Tasks
- Build RAG pipelines ingestion embeddings vector stores caching
- Define AI ML roadmap with measurable outcomes
- Define async contracts schemas and eventing patterns
- Define incident response runbooks and postmortems
- Deliver low latency scalable inference
- Establish MLOps and LLMOps registries CI CD canary AB tests
- Hire mentor and develop team
- Implement data privacy security compliance RBAC secrets auditability
- Implement observability and safety guardrails
- Lead AI engineering function
- Lead model and prompt lifecycle data curation training evaluation deployment rollback
- Manage build vs buy vendor strategy budgets and SLAs
- Manage roadmap and capacity planning
- Optimize inference throughput and cost autoscaling batching quantization distillation caching
- Organize sub teams with ownership
- Own LLM gateway APIs and proxy routing
- Run offline online evaluations drift and cost monitoring
- Set technical bar and review practices
- Track prompt and model lineage and reproducibility
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | APIs | AWS Bedrock | Access Control | Autoscaling | B testing | Batching | CI/CD | Caching | Canary Releases | Distributed Systems | Dynamic routing | Event Driven | Event-driven architecture | Experiment tracking | Faiss | Grafana | Java | Java Virtual Machine | Kubernetes | LLM orchestration | LLMOps | Langchain | Llamaindex | MLOps | Messaging | Microservices | Model Distillation | Model Registry | NestJS | Node.js | Observability | OpenTelemetry | Pinecone | Prometheus | PyTorch | Python | Qdrant | Quantization | RAG | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Secrets management | Streaming | Terraform | Token budgeting | Vector Databases | Virtual machine
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Head | Head of AI | Head of AI Engineering | Manager
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