Related skills
rag api gateway sagemaker aws lambda salesforce data cloud📋 Description
- Define end-to-end Generative AI architecture with Salesforce Data Cloud and Bedrock.
- Design BYOM patterns to access AWS Foundational Models.
- Architect data ingestion and grounding (RAG) for real-time profiles.
- Govern AI with Einstein Trust Layer, privacy, and PII masking.
🎯 Requirements
- AWS Bedrock: knowledge bases, agents, guardrails; Lambda/API Gateway/IAM.
- Salesforce AI Stack: Data Cloud, Einstein 1, Model/Prompt Builder.
- Design RAG and vector DB integrations (OpenSearch/Pinecone).
- REST/gRPC APIs, OAuth, and named credentials for Salesforce-AWS connectivity.
- Python (Lambda/Boto3) and Apex.
- 8+ years in Enterprise Architecture/Cloud Eng/Data Science; 3+ years AI/ML.
- Experience deploying GenAI in production; Zero Copy data sharing is a plus.
- Certifications: AWS Solutions Architect Professional; AWS ML – Specialty; Salesforce Data Cloud AI Associate.
🎁 Benefits
- Medical, dental, vision, life and disability coverage.
- Fertility care benefits.
- 401k and commuter benefits.
- Free testing for dependents and fertility support.
- Employee referral program.
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