Overview
Enterprise Forward Deployed AI Engineering Manager who leads a team to architect, deploy, and drive adoption of production AI systems for strategic customers.
What you'll do
- Partner with enterprise customers to understand technical infrastructure, data pipelines, and business requirements.
- Design and implement custom integrations between Scale AI’s platform and customer data environments.
- Build data connectors and ETL pipelines to ingest, process, and prepare data for AI workflows.
- Deploy and configure AI models and agents within customer security and compliance boundaries.
- Architect multi-agent systems and implement evaluation frameworks to measure agent performance.
- Create prompt and RAG systems, and conduct prompt experimentation and A/B testing.
What you'll need
- 5+ years of software engineering experience.
- 3+ years of management experience.
- Production Python expertise.
- Experience with modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API).
- Cloud platform experience (AWS, GCP, or Azure) and modern data infrastructure.
- Strong problem-solving skills for ambiguous requirements and rapid iteration.
- Strong communication skills to explain technical concepts to technical and non-technical audiences.
Details
- Compensation for eligible full-time roles includes base salary, equity, and benefits.
- Base salary range shown for San Francisco, New York, and Seattle: $252,000–$315,000 USD.
- Determination of final salary involves work location, skills, experience, qualifications, interview performance, and education/training.
Read the full description and apply on the company’s own careers page.
