AI Architect, Salesforce Service Cloud & AWS

POSITION SUMMARY

We are seeking a visionary AI Architect to lead the design and implementation of next‑generation AI solutions bridging our Salesforce CRM ecosystem with AWS cloud infrastructure. In this strategic role, you will architect scalable generative AI applications that enhance customer engagement, automate complex workflows, and unlock predictive insights. You will be 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 end‑to‑end architecture for generative AI solutions, integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker . Design Bring Your Own Model patterns, allowing Salesforce to securely access Foundational Models (FMs) hosted on AWS (e.g., Claude, Titan, Llama 2) via Bedrock. Architect 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 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.

QUALIFICATIONS

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

KNOWLEDGE, SKILLS, AND ABILITIES

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. Austin, TX

$152,800 - $191,000 USD

WHAT WE OFFER

Competitive Benefits – Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401(k) benefits, commuter benefits and much more. We also offer a generous employee referral program! 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. #J-18808-Ljbffr Dormont Manufacturing Co