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Natera

Lead AI Architect, Salesforce Service Cloud & AWS

Natera
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about 1 month ago
Austin, TX, USASenior / Staff+
H1B Sponsor

Base Salary

$153k - $191k/yr

Responsibilities

  • Define the end-to-end architecture for Generative AI solutions integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker.
  • Design 'Bring Your Own Model' (BYOM) patterns for secure access to Foundational Models hosted on AWS.
  • Architect data ingestion and grounding strategies to provide AI models with real-time customer profiles.
  • Establish governance frameworks for AI compliance with data privacy and security policies.
  • Lead the technical implementation of Model Builder and Prompt Builder within Salesforce.
  • Configure Amazon Bedrock agents to execute complex tasks and retrieve proprietary data.
  • Develop serverless middleware using AWS Lambda and API Gateway for low-latency communication.
  • Oversee fine-tuning of models on AWS SageMaker for domain-specific adaptations.
  • Collaborate with Data Engineers to ensure proper data ingestion and activation from various sources.
  • Partner with Salesforce Administrators to embed AI outputs into workflows.
  • Act as a subject matter expert for Product Managers, translating technical concepts into actionable roadmaps.
  • Monitor LLM performance and implement optimization strategies for cost efficiency.
  • Stay updated on new features in the Salesforce/AWS partnership.

Requirements

  • Deep expertise in the AWS AI/ML stack, particularly Amazon Bedrock.
  • Strong knowledge of Salesforce Data Cloud and Einstein 1 Platform.
  • Experience designing RAG architectures and Vector Database integrations.
  • Expert-level knowledge of REST/gRPC APIs and secure Salesforce-to-AWS connectivity.
  • Proficiency in Python and familiarity with Apex programming.
  • 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science.
  • 3+ years focused on AI/ML solutioning or Data Engineering.
  • Proven track record of deploying Generative AI solutions into production.
  • Experience with 'Zero Copy' architecture between Salesforce and Data Warehouses is a plus.
  • Preferred certifications include AWS Certified Solutions Architect and Salesforce Data Cloud Consultant.

Benefits

  • Comprehensive medical, dental, vision, life, and disability plans for employees and dependents.
  • Free testing for employees and their immediate families, along with fertility care benefits.
  • Pregnancy and baby bonding leave, 401k benefits, and commuter benefits.
  • Generous employee referral program.

Tech Stack

Amazon RedshiftAWSPython

Categories

AI & MLData Engineering