Senior Analytics Manager - AI Model & Prompt Engineering
USD 172K-258K Senior-level Full Time
Tasks
- Apply Agile delivery leadership
- Deliver robust reliable AI solutions
- Ensure engineering product quality
- Identify training and development needs
- Implement engineering best practices
- Lead and coordinate generative AI engineering team
- Manage project resources and delivery schedules
- Oversee team and individual performance
- Provide technical direction and support
Perks/Benefits
- 401k matching
- Adoption benefits
- Career development
- Disability benefits
- Flexible spending accounts
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Relocation assistance
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AI Evaluation | APIs | AWS | Agent Orchestration | Agent systems | Agentic Orchestration | Azure | B testing | Bedrock | Blue/green | Blue/green deployments | CI/CD | Canary deployments | Chunking | Cloud Architecture | Cloud platform | Data Modeling | Data Pipelines | Distributed Systems | EC2 | Embeddings | Feature Flags | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Guardrails | Human-in-the-loop | Incident Management | Integration Testing | LLM | Langchain | Langgraph | LoRA | Memory | Microservices | Model Benchmarking | Multi-Agent | Multi-Agent Systems | Multi-agent orchestration | Planning | Prompt engineering | RAG | S3 | SageMaker | Snowflake | The Loop | Tool use | Unit Testing | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Analytics | Analytics Manager | Engineering Manager | Manager
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