Applied AI ML Director - AGENT BUILDER PLATFORM
Palo Alto, CA, United States
USD 140K-195K (estimate) Executive-level Full Time
Tasks
- Align roadmap with enterprise AI strategy
- Build mentor and scale ML engineering and data science teams
- Define technical vision and roadmap for Agent SDK
- Design and optimize ML pipelines for training fine tuning and inference
- Establish measurement and evaluation frameworks for agent performance
- Implement guardrails and policy enforcement for responsible AI
- Integrate research into production agent systems
- Lead instrumentation strategy for observability and feedback loops
- Serve as primary technical point of contact for Agent SDK
- Set SDK architecture for orchestration and state management
- Support agent frameworks for tool use and multi agent coordination
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS Bedrock | AWS SageMaker | Agent coordination | Autogen | Automated Regression | Automated regression testing | B testing | Checkpointing | Cloud deployment | Compliance | Data Science | Data Science Rigor | Distributed Systems | Drift Detection | Experimental Design | Fault Tolerance | Fine Tuning | Haystack | JAX | LLM serving | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Model Evaluation | Model Fine-tuning | Multi-Agent | Multi-Agent Coordination | Observability | Open Source | Prompt Based Agents | Prompt engineering | PyTorch | Regression testing | Responsible AI | Scikit-learn | State machines | Statistical Analysis | TensorFlow | Tool use | Workflow Orchestration
Education
N/A
Regions
Countries
States
Cities
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