Salesforce Agentforce Architect

Launch Consulting

$145K — $176K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in Salesforce development, architecture, and implementation
  • Proven track record designing and implementing Agentforce solutions
  • Strong consulting experience, particularly in client-facing settings
  • Hands-on experience with Salesforce Flows, automation, and integrations
  • Deep understanding of AI/agent lifecycle management
  • Experience integrating Salesforce with ERP systems and APIs
  • Agentforce certification(s) required, with additional Salesforce certifications preferred

Responsibilities

  • Lead discovery sessions to identify Agentforce application opportunities
  • Design and architect comprehensive Agentforce solutions
  • Build and configure AI agents using low-code and custom tools
  • Develop systems integrations for data-driven workflows
  • Collaborate with diverse stakeholders to ensure solution scalability
  • Define testing strategies for agent performance validation
  • Support deployment activities to ensure smooth go-live execution
  • Continuously optimize agent performance for improved outcomes

Benefits

  • Remote work flexibility
  • Opportunity to work on cutting-edge AI solutions
  • Engagement with enterprise-scale projects and cross-functional teams
  • Exposure to high-impact digital transformation initiatives
  • Recognition of professional development through certifications
Full Job Description
Job Description

Company: Proviso
Position: Agentforce Architect
Location: Remote
Start Date: ASAP
Rate: W2 70-85/hr


Overview: We are seeking an Agentforce Architect / Engineer to design and implement AI-driven solutions using Salesforce Agentforce. This role will focus on building intelligent, enterprise-grade agents that automate workflows, enhance customer and employee experiences, and drive measurable business outcomes. This role requires strong experience in both consulting and hands-on implementation, including leading discovery sessions, translating business requirements into scalable solutions, and delivering production-ready agents.

The ideal candidate has deep Salesforce expertise, strong technical and architectural skills, and experience working in enterprise environments with cross functional stakeholders.

Qualifications
• 8+ years of professional experience in Salesforce development, architecture, and implementation
• Proven experience designing and implementing Agentforce solutions, including agents, topics, actions, and guardrails
• Strong consulting experience including client-facing discovery, requirements gathering, and solution design
• Hands-on experience building within Salesforce (Flows, automation, data models, and integrations) • Strong understanding of AI/agent lifecycle including design, build, testing, deployment, and optimization
• Experience integrating Salesforce with enterprise systems (APIs, ERP systems, data platforms, etc.)
• Strong understanding of Salesforce architecture, security, and scalability best practices
• Must have Agentforce certification(s) (e.g., Agentforce Specialist) • Strong communication skills with the ability to work across business and technical teams Pluses
• Additional Salesforce certifications (Admin, App Builder, Architect-level)
• Experience with Data Cloud, prompt engineering, or AI grounding techniques
• Experience implementing AI/agentic solutions in enterprise environments
• Background in consulting or working with large-scale digital transformation programs
• Experience across multiple Salesforce clouds (Sales, Service, Marketing, Commerce)
• Experience designing governance, compliance, and security frameworks for AI solutions Day to Day
• Lead discovery sessions and workshops to identify Agentforce use cases and define solution roadmaps
• Design and architect Agentforce solutions including agent roles, topics, actions, and guardrails
• Build and configure AI agents within Salesforce using low-code and custom development tools
• Develop integrations between Agentforce and enterprise systems to enable data-driven workflows
• Collaborate with product, business, and technical stakeholders to deliver scalable solutions
• Define and execute testing strategies to validate agent performance prior to deployment
• Support UAT, deployment, and go-live activities to ensure production readiness
• Optimize agent performance and continuously improve accuracy, behavior, and adoption
• Participate in architecture discussions, technical design sessions, and code reviews

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