Related skills
rag api gateway sagemaker aws lambda salesforce data cloud📋 Description
- Define end-to-end Generative AI architecture with Salesforce Data Cloud, Bedrock, SageMaker.
- Design BYOM patterns granting Salesforce secure access to Bedrock foundational models.
- Architect RAG data ingestion for real-time unified customer profiles from Data Cloud.
- Establish governance under Einstein Trust Layer: privacy, zero-data retention, PII masking.
- Lead Model Builder and Prompt Builder within Salesforce, connected to AWS endpoints.
- Build serverless middleware (AWS Lambda, API Gateway) for low-latency Salesforce-AWS integration.
🎯 Requirements
- 8+ years in Enterprise Architecture, Cloud Eng, or Data Science.
- 3+ years AI/ML solutioning or Data Engineering.
- Proven production deployment of Generative AI solutions.
- Zero-copy data sharing between Salesforce and data warehouses a plus.
- Certifications: AWS Solutions Architect Pro; AWS ML; Salesforce Data Cloud.
- REST/gRPC, OAuth, Apex, Python; RAG architectures; Vector DBs.
🎁 Benefits
- Competitive benefits including medical, dental, vision, life and disability.
- Free testing for employees and fertility care benefits.
- Pregnancy/baby bonding leave; 401k and commuter benefits.
- Generous employee referral program.
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