Head, AI Engineering
Tasks
- Build LLMOps and MLOps pipelines
- Build and operate AI factory platform architecture
- Define AI engineering strategy
- Deliver cross functional enterprise AI programs
- Deliver model hosting and inference services
- Develop and standardize AI engineering frameworks
- Drive reliability incident management
- Embed security-by-design
- Implement CI/CD
- Implement infrastructure-as-code
- Implement monitoring and observability
- Lead and develop engineering teams
- Lead engineering risk remediation
- Lead enterprise AI engineering roadmap
- Manage AI governance and access controls
- Own end-to-end platform delivery
- Plan disaster recovery and capacity
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Access Management | Agentic AI | Auditability | Automated testing | By Design | C++ | CI/CD | Capacity Planning | Data Catalog | DevSecOps | Disaster Recovery | Distributed Systems | GPU Computing | Generative AI | Identity and Access Management | Identity and access | Incident Management | Inference services | Infrastructure as Code | Java | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Deployment | Model Monitoring | Observability | Platform Engineering | Python | Reliability Engineering | Retrieval-Augmented Generation | Security by design | Site Reliability | Site Reliability Engineering | Telemetry | “as-code”
Education
N/A
Roles
AI Engineering | Engineering | Engineering Manager | Head | Head of AI | Head of AI Engineering | Manager
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