Arizona State University

Salesforce AI Engineer

Arizona State University$100K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, IT, Engineering, AI, or related field.
  • 3+ years of experience in applications development, or equivalent training.
  • Deep expertise in Salesforce platform development and AI practices.
  • Strong skills in prompt engineering, Apex, and DevOps tooling.
  • Experience developing AI solutions and workflow automation within Salesforce.

Responsibilities

  • Design and deploy AI-powered Salesforce solutions for student engagement.
  • Build autonomous AI agents using Salesforce Agentforce.
  • Develop complex Agent Actions for business processes and workflows.
  • Create and optimize LLM prompt templates for AI interactions.
  • Implement intelligent automation solutions to streamline administrative tasks.
  • Integrate AI functionalities with existing Salesforce services and external systems.
  • Collaborate with various stakeholders to drive automation and AI opportunities.

Benefits

  • Healthcare plans and wellness programs.
  • Retirement savings options.
  • Tuition reduction for employees and their dependents.
  • Family resources and support.
  • Employee discounts on various services and products.
Full Job Description
Job Profile:
Applications Developer 2

Job Family:
IT Applications

Time Type:
Full time

Max Pay - Depends on experience:
$120,000.00 USD Annual

Apply before 11:59 PM Arizona time the day before the posted End Date.

Minimum 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.

Job Profile Summary:
Assists in design, development, and troubleshooting software and applications in support of establishing a sustainable institutional technological infrastructure.

Job Description:

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? The keep reading below for this Salesforce AI Engineering opportunity!

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.
  • 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.


AI & Automation Responsibilities
  • 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.


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

Desired Qualifications:
  • 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 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.


Desired Technical Skills:
  • 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.


Salary & Benefits:

$100,000 - $120,000 per year; DOE

ASU offers a total compensation package that includes valuable employee benefits. See the ASU Benefits website to explore options.
  • Healthcare
  • Financial Security
  • Retirement
  • Family Resources
  • Tuition Reduction (Eligible ASU Employee, their dependents and spouse.)
  • Discounts


Working Environment:

Your desk will be in the beautiful, cutting-edge, and collaborative workspace at SkySong, the ASU Scottsdale Innovation Center. The Center houses a diverse business community that links technology, research, education, and entrepreneurship to position ASU and Greater Phoenix as global leaders in the knowledge economy.

ASU EdPlus supports flexible work options, ranging from alternate to hybrid work schedules, subject to approvals per ASU policy. (This is an in-person, hybrid position.)

Applicant must be eligible to work in the United States. ASU EdPlus will not be a sponsor for this position.

Driving Requirement:
Driving is not required for this position.

Location:
Off-Campus: Scottsdale

Funding:
No Federal Funding

Instructions to Apply:

Current employees, student workers seeking staff opportunities, and students applying for student worker positions must apply directly through the Workday Jobs Hub.

Please use the link below to log in using single sign-on.

To be considered, your application must include all of the following attachments:
  • Cover letter
  • Resume or CV


Multiple documents may be uploaded in the attachments section. Alternatively, applicants may combine all required materials into a single PDF for submission. Please ensure uploaded documents are clearly labeled and include your name.

Please ensure your resume includes all employment information in month and year format, for example 6/04 to 8/14, along with job title, job duties, and employer name for each position. Your resume should clearly demonstrate how your experience and background meet the minimum and desired qualifications for this position. Incomplete applications or missing required materials may not be considered.

Important: Do not withdraw your application to make edits. Once an application is withdrawn, it cannot be edited, reactivated, or replaced with a new submission. If you have questions or need assistance, please contact The Office of Human Resources Talent Acquisition before the posting close date.

Graduate Assistant, Intern and part-time positions are counted as half time for experience equivalency, meaning one year equals six months of experience.

Only electronic applications will be accepted for this position. By submitting an application, you confirm that the information provided is accurate and complete.

About Arizona State University

Arizona State University (ASU) is a public research university with its main campus in Tempe, Arizona. It is one of the largest public universities in the United States by enrollment. ASU offers degree programs in more than 800 areas of study, including over 250 undergraduate majors and more than 120 graduate programs. ASU is classified among "R1: Doctoral Universities ? Very high research activity". ASU's athletic teams are called the Sun Devils and compete in the Pac-12 Conference. ASU has multiple campuses throughout the Phoenix metropolitan area, with four regional campuses and several extension centers.
Learn more about Arizona State University
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