Overview
Natera is seeking a visionary Senior AI Architect to design and implement cutting-edge Generative AI solutions across Salesforce and AWS cloud infrastructure. In this strategic role, you'll architect sophisticated "Bring Your Own Model" (BYOM) systems that integrate Salesforce Data Cloud with Amazon Bedrock, transforming patient engagement, automating complex workflows, and unlocking predictive insights from enterprise data.
Job Description
The Opportunity
We are seeking a visionary Senior AI Architect to pioneer the integration of cutting-edge AI solutions across our Salesforce CRM ecosystem and AWS cloud infrastructure. This is a strategic, high-impact role where you'll architect and implement Generative AI applications that transform how we engage with patients, automate complex workflows, and unlock predictive insights from our data.
You'll serve as our technical authority on the convergence of Salesforce Data Cloud, Einstein Trust Layer, and Amazon Bedrock, moving beyond simple integrations to build sophisticated "Bring Your Own Model" (BYOM) architectures that are secure, scalable, and measurably impactful.
What You'll Do
AI Strategy & Architecture (40%)
- Define end-to-end architecture for Generative AI solutions, integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker
- Design "Bring Your Own Model" (BYOM) patterns that enable Salesforce to securely access foundational models (Claude, Titan, Llama 2) hosted on AWS via Bedrock
- Architect data ingestion and grounding strategies using RAG (Retrieval Augmented Generation) to ensure AI models have real-time access to unified customer and patient profiles
- Establish comprehensive AI governance frameworks ensuring compliance with Einstein Trust Layer standards, including data privacy, zero-data retention policies, and PII masking
Implementation & Development (30%)
- Lead technical implementation of Model Builder and Prompt Builder within Salesforce, connecting them to external AWS endpoints
- Configure Amazon Bedrock agents and knowledge bases to execute complex tasks and retrieve proprietary data for business users
- Develop serverless middleware using AWS Lambda and API Gateway to enable low-latency communication between Salesforce Flow/Apex and AWS inference endpoints
- Oversee fine-tuning of models on AWS SageMaker when out-of-the-box Bedrock models require domain-specific adaptation for healthcare use cases
Cross-Functional Collaboration (20%)
- Partner with Data Engineers to ensure Salesforce Data Cloud correctly ingests, harmonizes, and activates data streams from S3, Redshift, and other enterprise sources
- Collaborate with Salesforce Administrators and Developers to embed AI outputs directly into workflows (Service Console, Lightning Web Components, etc.)
- Serve as the AI subject matter expert for Product Managers, translating AI concepts into viable technical roadmaps
Optimization & Innovation (10%)
- Monitor LLM performance metrics including latency, accuracy, and token costs; implement caching strategies and intelligent model selection logic
- Stay ahead of rapid evolution in the Salesforce/AWS partnership, evaluating and piloting new capabilities like Zero Copy Data Sharing and Vector Database integrations
What You'll Bring
Required Technical Expertise
AWS AI/ML Stack
- Deep, hands-on expertise in Amazon Bedrock (mandatory)
- Proven experience configuring Bedrock Knowledge Bases, Agents, and Guardrails
- Proficiency with AWS Lambda, API Gateway, IAM, and security best practices
- Working knowledge of AWS SageMaker for model training and deployment
Salesforce AI Stack
- Strong working knowledge of Salesforce Data Cloud and Einstein 1 Platform
- Experience with Model Builder and Prompt Builder setup and configuration
- Understanding of Salesforce Service Cloud and Sales Cloud architecture
Architecture & Integration
- Demonstrated experience designing RAG architectures
- Experience with Vector Database integrations (OpenSearch Serverless, Pinecone, or similar)
- Expert-level knowledge of REST/gRPC APIs, OAuth 2.0 flows, and named credentials
Programming
- Proficiency in Python (AWS Lambda, Boto3, data processing)
- Familiarity with Apex for Salesforce triggers, callouts, and custom logic
- Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus
Experience Requirements
- 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science roles
- 3+ years specifically focused on AI/ML solution design or Data Engineering
- Proven track record of deploying at least one Generative AI solution into production
- Healthcare or regulated industry experience is a plus
Preferred Certifications
- AWS Certified Solutions Architect – Professional
- AWS Certified Machine Learning – Specialty
- Salesforce Data Cloud Consultant or AI Associate
- Salesforce Certified Application Architect or System Architect
About Natera
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health.
Compensation & Benefits
Competitive compensation including base salary, performance bonuses, and equity. Comprehensive benefits including health insurance, 401(k) matching, flexible PTO, professional development budget, and more.