Senior Analytics Manager - AI Model & Prompt Engineering
Chicago, Illinois, United States
USD 172K-258K Senior-level Full Time
Tasks
- Apply testing and QA processes
- Coordinate generative AI solution development
- Develop intelligent agents and digital assistants
- Ensure software quality and reliability
- Identify training and development needs
- Implement engineering best practices
- Lead AI engineering team
- Manage resources and delivery schedules
- Oversee team performance and coaching
- Provide technical direction
Perks/Benefits
- 401k
- Career development
- Employee assistance program
- Flexible spending accounts
- Health savings account
- Paid time off
- Parental leave
- Relocation support
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AI Evaluation | APIs | AWS | Agent Orchestration | Agile | Azure | B testing | Bedrock | Benchmarking | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Chain-of-Thought | Chunking | Cloud Architecture | Cloud platform | Distributed Systems | EC2 | Edge Computing | Embeddings | Feature Flags | Few-Shot Learning | Few-shot | Fine Tuning | Google Cloud | Google Cloud Platform | Guardrails | Human-in-the-loop | Incident Management | Integration Testing | Langchain | Langgraph | LoRA | Memory | Microservices | Multi-Agent | Multi-agent orchestration | Prompt engineering | Quality Assurance | RAG | S3 | SageMaker | Scalable System Design | Snowflake | Software Quality Assurance | Software integration | Software quality | Structured Output | System design | 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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