Sr. AI Engineer
San Francisco, CA, United States
USD 157K-254K Senior-level Full Time
Tasks
- Advise leadership on AI strategy for GTM systems
- Apply AI to revenue workflows
- Build RAG and vector search architectures
- Define AI reliability latency observability and cost standards
- Deliver AI solutions from prototype to production
- Design production-grade AI systems
- Ensure AI outputs are accurate explainable and trusted
- Ensure security compliance and privacy with PII controls
- Establish data access governance and model evaluation guardrails
- Implement agentic workflows and tool calling
- Integrate AI services with CRM CPQ and billing systems
- Translate business requirements into technical designs
Perks/Benefits
- Compassionate care leave
- Full Health Benefits Plans
- Learning and development
- Paid parental leave
- Paid time off
- Retirement plans
Skills/Tech-stack
AI Governance | APIs | AWS | Agentic Workflows | Artificial Intelligence | Azure | CRM | Cloud Computing | Cloud platform | Cost Optimization | Distributed Systems | Embeddings | Feature Store | GDPR | Go | Google Cloud | Google Cloud Platform | Java | Language Models | Large Language Models | Latency optimization | Machine Learning | Netsuite | Observability | Oracle | Orchestration | PII | Prompt engineering | Python | Retrieval-Augmented Generation | Risk Management | Salesforce | Salesforce CPQ | Tool-Calling | TypeScript | Vector Database | Vector Search | Zuora
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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