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# Salesforce AI Engineer

- **Company:** Arizona State University
- **Location:** Scottsdale, AZ, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Temporary contract
- **Skills:** Salesforce Object Search Language (SOSL), JavaScript (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Computing, Cyber Security, Continuous Integration, Customer Data Management, DevOps, Programming Tools, Github, Operational Data Store, Scrum Methodology, Release Management, Cloud Services, Copado, Salesforce.Com, Search Technologies, SQL Databases, Systems Integration, Workflow Management Systems, Apex Code, Enterprise Software Applications, GitHub Copilot, Delivery Pipeline, Large Language Models, Prompt Engineering, SOAPAPI, Generative AI, Git, AI Platforms, Information Technology, Deployment Automation, Apex Programming, Salesforce Object Query Language (SOQL), Bitbucket, Restful APIs, Network Server, Software Version Control, Automation Anywhere, Jenkins
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/cc2fd5d9-ed04-4286-a937-fbd48c390d8e

## About the Role

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., * 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 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 asynchronoevent-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.

## Description

Assists in design, development, and troubleshooting software and applications in support of establishing a sustainable institutional technological infrastructure., Are you experienced in both enterprise Salesforce development and modern AI engineering practices? Can you balance rapid experimentation with enterprise governance and scalability? Comfortable working in fast-paced Agile and innovation-focused environments? Then keep reading below for this Salesforce AI Engineer opportunity!

ASU EdPlus is a dynamic unit of Arizona State University focused on the design and scalable delivery of digital teaching and learning models to increase student success and reduce barriers to achievement in higher education. We advance the economic, social, cultural, and overall health of the local, national, and international communities served by ASU.

Want to know more about working at EdPlus? Watch this short video!

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

We are seeking an innovative and highly technical Salesforce AI Engineer to join the EdPlus Product & UX Technology team. Every day you will make a difference in the lives of others by leading the design, development, and deployment of AI-powered student engagement and workflow automation solutions within the Salesforce ecosystem.

You will possess deep expertise in Salesforce platform development along with advanced experience in designing and deploying AI-powered agents using Salesforce Agentforce. You must have strong capabilities in prompt engineering, Apex development, AI workflow orchestration, agentic architectures, and enterprise DevOps practices.

You will work closely with architects, business stakeholders, product owners, analysts, and coaching operations teams to build scalable AI-assisted solutions that reduce manual work, automate administrative processes, and improve personalized student engagement at scale. You will bring a passion for improving student outcomes through intelligent technology solutions.

Essential Duties:

 * Design, develop, deploy, and maintain AI-powered solutions within the Salesforce ecosystem, including autonomous AI agents built with Salesforce Agentforce capable of reasoning over student engagement and operational data.
 * Develop and maintain Agent Actions, Apex classes, Lightning Web Components (LWC), Flows, and APIs that support AI-driven business processes and enable agents to perform complex business operations.
 * Create, optimize, and ground prompt templates for Large Language Model (LLM)-based interactions to deliver grounded, context-aware AI responses, including configuring Retrieval-Augmented Generation (RAG) and grounding strategies for AI accuracy and contextual relevance.
 * Design and implement AI-assisted coaching workflows and intelligent automation solutions, including automating Tier 1 coaching and administrative tasks, along with personalized, engagement-based outreach journeys that scale.
 * Integrate Agentforce solutions with Salesforce data models, external systems, APIs, and enterprise services.
 * 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, and work with MCP servers and AI-assisted development tooling to improve engineering productivity.
 * Monitor AI solution performance, prompt effectiveness, agent behavior, and operational reliability, while implementing scalable AI governance and optimization practices.
 * 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., * Salesforce Agentforce
 * Agent Actions
 * Prompt Engineering
 * Prompt Builder
 * Apex
 * Lightning Web Components (LWC)
 * Salesforce Flow Automation
 * AI Workflow Orchestration
 * Salesforce DX (SFDX)
 * GitHub / BitBucket
 * CI/CD Pipeline Configuration
 * REST/SOAP APIs
 * LLM Integration
 * Retrieval-Augmented Generation (RAG)
 * AI Governance & Responsible AI
 * MCP Server Integrations
 * JavaScript
 * SQL/SOQL
 * DevOps Automation
 * Agile/Scrum

NOTE: Please answer the following questions in your cover letter:

 * Describe your experience building complex logic in Salesforce Flow or Apex specifically to trigger external actions or AI responses. How do you handle "grounding" or ensuring data accuracy within a prompt?
 * We are moving toward an 'Agentic' model using Agentforce. Explain how you would architect an Agent Action in Salesforce to solve a specific manual administrative task., Graduate Assistant, Intern and part-time positions are counted as half time for experience equivalency, meaning one year equals six months of experience., In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources. ASU's Annual Security and Fire Safety Report is available online at You may request a hard copy of the report by contacting the ASU Police Department at .

Relocation Assistance - For information about schools, housing child resources, neighborhoods, hospitals, community events, and taxes, visit ;br>
Employment Verification Statement:

ASU conducts pre-employment screening which may include verification of work history, academic credentials, licenses, and certifications.

Background Check Statement:

ASU conducts pre-employment screening for all positions which includes a criminal background check, verification of work history, academic credentials, licenses, and certifications. Employment is contingent upon successful passing of the background check.

Fingerprint Check Statement:
This position is considered safety/security sensitive and will include a fingerprint check. Employment is contingent upon successful passing of the fingerprint check.


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