Salesforce AI Engineer

Salesforce AI Engineer

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!

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.

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 Dev Ops 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  will bring a passion for improving student outcomes through intelligent technology solutions.

Essential duties include:

• 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.

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 Git Hub or Bit Bucket, along with CI/CD pipeline configuration and…