Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
Culver City; San Diego; San Francisco; Seattle
USD 166K-264K (estimate) Senior-level Full Time
Tasks
- Build skills based automation pipelines
- Define reusable GenAI production patterns
- Design LLM workflows for infrastructure operations
- Develop evaluation and observability for AI workflows
- Drive architecture direction and technical leadership
- Establish production standards and safety requirements
- Guide prototype to production adoption
- Implement retrieval augmented generation systems
- Lead GenAI agentic systems development
- Optimize capacity planning and anomaly detection
- Orchestrate evaluation and failure handling
- Partner with data engineering and infrastructure teams
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | Capacity Planning | Cloud infrastructure | Context engineering | Cost Optimization | Deployment safety | Distributed Systems | Evaluation | Generative AI | Infrastructure automation | Java | Language Models | Large Language Models | Machine Learning | Observability | Python | RAG | Retrieval-Augmented Generation | Skills Based Automation | Tool use | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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