Description

• Lead end-to-end solution architecture for complex, multi-cloud Salesforce implementations including Sales Cloud, Service Cloud, Experience Cloud, and Agentforce
• Translate business requirements into scalable data models, integration patterns, and automation frameworks
• Design agentic AI workflows using Agentforce Builder, Prompt Builder, and Einstein AI capabilities
• Define platform standards for Apex, Lightning Web Components (LWC), and Flow automation
• Evaluate build vs. buy decisions, AppExchange solutions, and custom development trade-offs
• Produce architecture decision records (ADRs), solution design documents, and technical specifications

Stakeholder Engagement

• Facilitate requirements workshops and discovery sessions with C-suite, business owners, and technical teams
• Present solution designs and architectural recommendations to executive stakeholders
• Serve as the primary technical escalation point throughout delivery lifecycles
• Partner with business analysts, project managers, and delivery leads to ensure alignment between technical design and business outcomes

Technical Leadership & Governance

• Establish and enforce coding standards, DevOps practices, and release management frameworks using DevOps Center and CI/CD pipelines
• Oversee architecture reviews and ensure solutions adhere to Salesforce Well-Architected principles
• Lead platform governance including permission governance, Einstein Trust Layer configuration, and org-level AI controls
• Champion data quality, security, and compliance standards across all Salesforce environments
• Mentor and upskill junior developers and administrators on Salesforce best practices

AI & Agentforce Strategy

• Design and govern AI-assisted development and testing lifecycles using Agentforce Testing Center, Data Cloud Sandboxes, and Digital Wallet monitoring
• Architect governed Agentforce adoption programs — from pilot through enterprise rollout — leveraging Agentforce Analytics and Utterance Analysis
• Define AI observability strategies including prompt audit logging, toxicity monitoring, and adoption measurement
• Evaluate and integrate third-party MCP servers and AgentExchange solutions into agent workflows

Pre-Sales & Practice Development

• Support pre-sales activities including RFP responses, solution demonstrations, and effort estimation
• Contribute to practice IP, reusable accelerators, and internal knowledge repositories
• Stay current with Salesforce releases (3x per year) and emerging AI capabilities, acting as an internal thought leader

Required Qualifications

Experience

• 10+ years of Salesforce experience with at least 5 years in an architecture or lead technical role
• Proven track record delivering large-scale, multi-cloud Salesforce programs ($1M+ in scope)
• Hands-on experience with Apex, LWC, Salesforce Flow, SOQL, and REST/SOAP integrations
• Experience with DevOps tooling: Salesforce DevOps Center, Git, Copado, Gearset, or equivalent
• Working knowledge of Agentforce, Einstein AI features, and Data Cloud

Education

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

Preferred Qualifications

• Experience with Salesforce Industries (Vlocity) or vertical clouds (Financial Services, Health, Public Sector)
• Familiarity with MuleSoft, Tableau, or Slack integrations within the Salesforce ecosystem
• Background in enterprise architecture frameworks (TOGAF, BIAN, or equivalent)
• Prior consulting or systems integrator experience
• Experience leading cross-functional, globally distributed teams

Key Skills

Education

Bachelor's degree