Salesforce AI Engineer

About the role

The EdPlus Product & UX Technology team at Arizona State University is seeking an innovative and highly technical Salesforce AI Engineer to join the team. The ideal candidate will possess deep expertise in Salesforce platform development along with advanced experience in designing and deploying AI-powered solutions.

Responsibilities

• Design, develop, deploy, and maintain AI-powered solutions within the Salesforce ecosystem.
• Build and configure autonomous AI agents using Salesforce Agentforce.
• Create, optimize, and ground prompt templates for Large Language Model (LLM)-based interactions.
• Develop and implement AI-assisted coaching workflows and intelligent automation solutions.
• Develop Apex classes, Lightning Web Components (LWC), Flows, and APIs that support AI-driven business processes.
• Build sophisticated engagement-based workflow automation and personalized outreach journeys.
• Integrate Agentforce solutions with Salesforce data models, external systems, APIs, and enterprise services.
• Configure and maintain Retrieval-Augmented Generation (RAG) and grounding strategies for AI accuracy and contextual relevance.
• Collaborate with stakeholders to identify automation opportunities and translate business requirements into scalable AI solutions.
• Work with MCP servers and AI-assisted development tooling to improve engineering productivity and accelerate delivery.
• Maintain AI solution performance, prompt effectiveness, agent behavior, and operational reliability.
• Achieve compliance with enterprise security, compliance, governance, and responsible AI standards.
• Create and maintain technical documentation related to AI workflows, prompt engineering, integrations, and deployment processes.
• Assume or coordinate other duties or projects as assigned or directed.

Qualifications

• Bachelor's degree and three (3) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
• Experience building complex logic in Salesforce Flow or Apex specifically to trigger external actions or AI responses.
• Experience with prompt engineering, grounding techniques, Retrieval-Augmented Generation (RAG), and integrating AI services or LLM-powered workflows into enterprise applications.
• Experience with Git-based version control systems such as GitHub or BitBucket, along with CI/CD pipeline configuration and Salesforce DevOps tools including Salesforce DX, GitHub Actions, Azure DevOps, Jenkins, Gearset, or Copado.
• Experience integrating external systems using REST/SOAP APIs, external integrations, vector databases, semantic search technologies, and asynchronous/event-driven architectures.
• Experience using MCP-based developer tooling and AI-assisted coding platforms including Claude Code, Codex, GitHub Copilot, Salesforce MCP Servers, and related AI engineering tools.
• Strong understanding of Salesforce security architecture, governance, and enterprise-scale implementations, along with excellent analytical, troubleshooting, communication, and collaboration skills; Salesforce AI Specialist and/or Platform Developer certifications preferred.