Description

Lead end-to-end solution architecture for complex, multi-cloud Salesforce implementations and define platform standards for AI-driven automation.

This role is on-site.

Responsibilities

• Translate business requirements into scalable data models, integration patterns, and automation frameworks across Sales Cloud, Service Cloud, and Experience Cloud.
• Design agentic AI workflows using Agentforce Builder, Prompt Builder, and Einstein AI capabilities, including observability strategies and toxicity monitoring.
• Establish and enforce coding standards, DevOps practices, and release management frameworks using DevOps Center and CI/CD pipelines.
• Facilitate requirements workshops with C-suite stakeholders and serve as the primary technical escalation point throughout delivery lifecycles.
• Produce architecture decision records (ADRs), solution design documents, and technical specifications while overseeing architecture reviews.

Required Skills

• 10+ years of Salesforce experience, with at least 5 years in an architecture or lead technical role.
• Hands-on proficiency with Apex, Lightning Web Components (LWC), Salesforce Flow, SOQL, and REST/SOAP integrations.
• Experience delivering large-scale, multi-cloud Salesforce programs ($1M+ in scope).
• Working knowledge of Agentforce, Einstein AI features, Data Cloud, and DevOps tooling (DevOps Center, Git, Copado, or Gearset).
• Ability to evaluate build vs. buy decisions, AppExchange solutions, and custom development trade-offs.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

Preferred Skills

• 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 prior systems integrator experience.

Key Skills

Education

Bachelor's degree