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Lead AI Architect, Salesforce Service Cloud & AWS

Natera, Inc. - Austin, TX

Posted Feb 6, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
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Learning budget
Not verified
Verification
Not verified checked Jun 7, 2026
Salary
$153K-$191K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

47% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Lead AI Architect, Salesforce Service Cloud & AWS Austin, TX POSITION SUMMARY We are seeking a visionary Lead AI Architect to lead the design and implementation of next-generation AI solutions by bridging our Salesforce CRM ecosystem with AWS cloud infrastructure. In this strategic role, you will be responsible for architecting scalable Generative AI applications that enhance customer engagement, automate complex workflows, and unlock predictive insights. You will serve as the technical authority on how Salesforce Data Cloud, Einstein Trust Layer, and Amazon Bedrock interact, ensuring our AI solutions are secure, scalable, and impactful. You will move beyond simple integrations to build robust "Bring Your Own Model" (BYOM) architectures. PRIMARY RESPONSIBILITIES AI Strategy & Architecture (40%) - 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, allowing Salesforce to securely access Foundational Models (FMs) hosted on AWS (e.g., Claude, Titan, Llama 2) via Bedrock. - Architect the data ingestion and grounding strategies (RAG - Retrieval Augmented Generation) to ensure AI models have access to real-time, unified customer profiles from Data Cloud. - Establish the governance framework for AI, ensuring compliance with the Einstein Trust Layer regarding data privacy, zero-data retention policies, and PII masking. Implementation & Development (30%) - Lead the 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

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