Director, AI Engineering
US - California - San Diego - HQ, United States
USD 170K-255K Executive-level Full Time
Tasks
- Architect RAG systems
- Architect event-driven architectures
- Architect scalable secure observable systems
- Build deployment monitoring drift detection pipelines
- Build multi year technology roadmaps
- Create CI/CD pipelines
- Define AI reference architectures
- Define containerization microservices standards
- Deliver measurable business outcomes
- Design cloud-native solutions
- Design model governance and content safety
- Design multi-agent workflows
- Develop AI platform standards
- Establish MLOps and LLMOps practices
- Implement infrastructure-as-code
- Implement prompt engineering standards
- Implement responsible AI frameworks
- Integrate LLM providers into production
- Mentor engineering teams
- Provide technical leadership
- Scope initiatives manage trade offs
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | ASR | AWS | Agent systems | AlloyDB | Azure | CI/CD | Cloud Functions | Cloud Native | Cloud platform | Dialog Management | Docker | Drift Detection | Event Driven | Event-driven architecture | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | GraphQL | Hibernate | Infrastructure as Code | Java | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Microservices | Model Governance | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | REST | Responsible AI | Spring Boot | Spring Cloud | TTS | Terraform | Vector Databases | Vertex AI | Voice AI | “as-code”
Education
Roles
AI | AI Architect | AI Engineering | Architect | Director | Director of AI | Director of AI Engineering | Engineering
Regions
Countries
States
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