Salesforce AI Engineer

Arizona State University•Scottsdale, AZ

5d•$100,000 - $120,000•Hybrid

About The Position

ASU EdPlus is seeking an innovative and highly technical Salesforce AI Engineer to join the EdPlus Product & UX Technology team. This role involves leading the design, development, and deployment of AI-powered student engagement and workflow automation solutions within the Salesforce ecosystem. The ideal candidate will have deep expertise in Salesforce platform development and advanced experience in designing and deploying AI-powered agents using Salesforce Agentforce, with strong capabilities in prompt engineering, Apex development, AI workflow orchestration, agentic architectures, and enterprise DevOps practices. You will collaborate with various stakeholders to build scalable AI-assisted solutions that reduce manual work, automate administrative processes, and improve personalized student engagement. A passion for improving student outcomes through intelligent technology solutions is essential.

Requirements

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.
Deep expertise in Salesforce platform development.
Advanced experience in designing and deploying AI-powered agents using Salesforce Agentforce.
Strong capabilities in prompt engineering, Apex development, AI workflow orchestration, agentic architectures, and enterprise DevOps practices.
Ability to work in fast-paced Agile and innovation-focused environments.
Must be able to reliably commute to Scottsdale, AZ.

Nice To Haves

Bachelor’s degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or related field.
More than four years of Salesforce development experience.
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 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.
Excellent analytical, troubleshooting, communication, and collaboration skills.
Salesforce AI Specialist and/or Platform Developer certifications preferred.

Responsibilities

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.