Salesforce AI Engineer

Job Profile: Applications Developer 2 Job Family: IT Applications Time Type: Full time 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? 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. You Will: 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. 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, an #J-18808-Ljbffr asu