Salesforce AI Engineer

Applications Developer 2 – Salesforce AI Engineer

Pay
: $ USD Annual (DOE).

ASU EdPlus, a dynamic unit of Arizona State University, seeks an innovative and highly technical Salesforce AI Engineer to join the Product & UX Technology team. The role involves leading the design, development, and deployment of AI-powered student engagement and workflow automation solutions within the Salesforce ecosystem.

NOTE:

This is an in‑person, hybrid position. You must be able to reliably commute to Scottsdale, AZ.

• Design, develop, deploy, and maintain AI-powered solutions within the Salesforce ecosystem.
• Build and configure autonomous AI agents using Salesforce Agentforce.
• Develop and maintain Agent Actions that enable agents to perform complex business operations and orchestrate workflows.
• Create, optimize, and ground prompt templates for Large Language Model (LLM)-based interactions.
• Design 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.
• Configure and support CI/CD pipelines and Git‑based deployment workflows.
• Work with MCP servers and AI‑assisted development tooling to improve engineering productivity and accelerate delivery.
• Monitor AI solution performance, prompt effectiveness, agent behavior, and operational reliability.
• Ensure AI solutions adhere to enterprise security, compliance, governance, and responsible AI standards.
• Participate in architecture reviews, sprint planning, release management, and Agile ceremonies.
• 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.

• Build AI‑powered agents capable of reasoning over student engagement and operational data.
• Design intelligent workflows that automate Tier 1 coaching and administrative tasks.
• Develop prompt templates that provide grounded, context‑aware AI responses.
• Create engagement‑based automation journeys that personalize outreach at scale.
• Implement scalable AI governance, monitoring, and optimization practices.

• Bachelor's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or related field.
• More than four years of Salesforce development experience and more than two years of experience developing AI‑enabled or intelligent automation solutions.
• Strong hands‑on experience with Salesforce Agentforce, Agent Actions, Prompt Builder / Prompt Templates, Apex, Lightning Web Components (LWC), Salesforce Flow, SOQL/SOSL, and Salesforce APIs.
• Experience designing and deploying autonomous or semi‑autonomous AI agents, AI copilots, conversational AI systems, or intelligent workflow orchestration platforms.
• Experience with prompt engineering, grounding techniques, Retrieval‑Augmented Generation (RAG), and integrating AI services or LLM‑powered workflows into enterprise applications.
• Experience working with Salesforce Sales Cloud, Service Cloud, Education Cloud, Einstein AI, AI Cloud, Prompt Builder, and Data Cloud.
• Strong experience with Git‑based version control systems such as Git Hub or Bit Bucket, along with CI/CD pipeline configuration and Salesforce Dev Ops tools including Salesforce DX, Git Hub Actions, Azure Dev Ops, 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, Git Hub…