Lead AI Architect, Salesforce Service Cloud & AWS

Job Description

Job Description

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.

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 Salesforce users.

• Develop serverless middleware using AWS Lambda and API Gateway to facilitate low-latency communication between Salesforce Flow/Apex and AWS inference endpoints.

• Oversee the fine-tuning of models on AWS SageMaker when out-of-the-box Bedrock models require domain-specific adaptation.

Cross-Functional Collaboration (20%)

• Partner with Data Engineers to ensure Salesforce Data Cloud is correctly ingesting, harmonizing, and activating data streams from S3, Redshift, and other sources.

• Collaborate with Salesforce Administrators and Developers to embed AI outputs directly into the flow of work (Service Console, Sales Cloud LWC, etc.).

• Act as the subject matter expert for Product Managers, translating "AI buzzwords" into viable technical roadmaps and realistic deliverables.

Optimization & Innovation (10%)

• Monitor LLM performance, latency, and token costs; implement caching strategies and model selection logic to optimize spend.

• Stay ahead of the rapid evolution in the Salesforce/AWS partnership, evaluating new features like Zero Copy Data Sharing and Vector Databases .

Required Technical Skills:

• AWS AI/ML Stack: Deep expertise in Amazon Bedrock is mandatory. Experience configuring Bedrock Knowledge Bases, Agents, and Guardrails. Proficiency with AWS Lambda, API Gateway, and IAM for secure cross-cloud access.

• Salesforce AI Stack: Strong working knowledge of Salesforce Data Cloud , Einstein 1 Platform , and the setup of Model Builder/Prompt Builder.

• Architecture: Experience designing RAG (Retrieval Augmented Generation) architectures and Vector Database integrations (e.g., OpenSearch Serverless or Pinecone).

• Integration: Expert-level knowledge of REST/gRPC APIs, OAuth flows, and named credentials for secure Salesforce-to-AWS connectivity.

• Programming: Proficiency in Python (for AWS Lambda/Boto3) and familiarity with Apex (for Salesforce triggers/callouts).

Experience:

• 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science.

• 3+ years specifically focused on AI/ML solutioning or Data Engineering.

• Proven track record of deploying at least one Generative AI solution into production (not just POCs).

• Experience implementing "Zero Copy" architecture between Salesforce and Data Warehouses (Snowflake/Redshift) is a major plus.

Certifications (Preferred):

• AWS Certified Solutions Architect (Professional)

• AWS Certified Machine Learning – Specialty

• Salesforce Data Cloud Consultant or AI Associate

• LLM Fluency: Deep understanding of context windows, prompt engineering techniques (Chain of Thought, ReAct), and embeddings.

• Security First: A paranoia for security—understanding how to prevent prompt injection and ensure data residency compliance when data leaves Salesforce for AWS.

• Communication: The ability to explain to a generic C-suite executive why we need a Vector Database without losing their attention.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Austin, TX

$152,800—$191,000 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: -of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page