Lead AI Architect, Salesforce Service Cloud & AWS
Tasks
- Architect RAG data ingestion and grounding
- Configure Amazon Bedrock agents and knowledge bases
- Define end to end generative AI architecture
- Design BYOM patterns for foundational models on AWS
- Develop serverless middleware with AWS Lambda and API Gateway
- Embed AI outputs into Salesforce workflows
- Establish AI governance for privacy and PII masking
- Evaluate AWS and Salesforce partnership features
- Implement caching and model selection logic
- Lead technical implementation of model builder and prompt builder
- Monitor LLM performance latency and token costs
- Oversee model fine tuning with SageMaker
- Partner with data engineers for Data Cloud data ingestion and activation
Perks/Benefits
- 401k
- Baby bonding leave
- Commuter benefits
- Dental insurance
- Disability insurance
- Employee referral program
- Fertility care benefits
- Free testing
- Health insurance
- Life insurance
- Pregnancy leave
- Vision insurance
Skills/Tech-stack
API Gateway | AWS IAM | AWS Lambda | AWS SageMaker | Amazon API | Amazon API Gateway | Amazon Bedrock | Data Sharing | Data cloud | Einstein 1 Platform | Embedding | GRPC | Generative AI | Model Builder | Named Credentials | OAuth | OpenSearch Serverless | PII masking | Pinecone | Prompt Builder | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Salesforce Data Cloud | Salesforce Einstein | Salesforce Einstein 1 Platform | Salesforce Model Builder | Salesforce Prompt Builder | Salesforce data | Vector Database | Zero Copy Data Sharing | Zero copy
Education
N/A
Roles
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