Natera

Salesforce Agentforce Engineer

Natera

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $80,700 - $100,900 per year

Job Level

JuniorMid-Level

Tech Stack

AWSCloudJavaScriptPythonSOAP

About the role

  • Lead the end-to-end design, configuration, and deployment of Agentforce agents within Salesforce; build agents that meet compliance requirements, business logic, and customer experience goals
  • Recommend opportunities to reengineer processes by combining AI agent capabilities with
  • Define and orchestrate agent actions, configure and maintain each agent’s topics, and create and optimize prompt engineering strategies to improve agent performance, relevance, and accuracy
  • Design, develop, and deploy AI-powered solutions using Salesforce Agentforce, Einstein GPT, and Service Cloud.
  • Customize and extend Salesforce Sales Cloud and Service Cloud to integrate AI-driven agent assist capabilities, intelligent case routing, and predictive analytics.
  • Collaborate with cross-functional teams (product managers, admins, data scientists) to define requirements and deliver scalable AI-enabled features.
  • Implement, configure, and optimize AI/ML models and components within Salesforce’s AI ecosystem (e.g., Einstein Bots, Agent Assist, Case Classification, Next Best Action).
  • Build and maintain secure, high-performance APIs and integrations with external AI services where required.
  • Monitor and analyze the performance of AI-powered workflows, ensuring model accuracy and value delivery.
  • Stay current with Salesforce AI innovations and contribute to strategy around AI adoption and best practices.

Requirements

  • 3+ years of experience in Salesforce development (Apex, Lightning Web Components, SOQL).
  • 2+ years working with Salesforce Service Cloud, especially in a support or customer service domain.
  • Experience with Salesforce Einstein (Bots, Case Classification, Article Recommendations, etc.).
  • Familiarity with Agentforce or other AI assistant frameworks integrated with Salesforce.
  • Strong understanding of AI/ML fundamentals and practical applications in CRM/service contexts.
  • Experience with REST/SOAP APIs, integration patterns, and third-party AI platforms (e.g., OpenAI, Google Cloud AI, AWS SageMaker).
  • Salesforce certifications (e.g., Platform Developer I/II, Service Cloud Consultant, AI Associate) are a plus.