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 RAG and LLM applications
- Collaborate with data engineering and infrastructure teams
- Define GenAI production standards
- Design capacity planning anomaly detection pipelines
- Design reusable patterns for AI assisted workflows
- Drive adoption of AI tooling across multiple teams
- Implement agentic workflows for infrastructure automation
- Improve deployment safety and incident response workflows
- Lead GenAI and agentic solutions
- Orchestrate evaluation and observability for AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | Application Architecture | Capacity Planning | Context engineering | Cost Optimization | Deployment safety | Evaluation | Failure handling | Infrastructure automation | Java | LLM application | LLM application architecture | Language Models | Large Language Models | Observability | Python | RAG | Retrieval-Augmented Generation | Tool use | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
Regions
Countries
States
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