Description

Key Responsibilities:

Solution Design & Architecture:

• 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 Agent force 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 Agent force Testing Center, Data Cloud Sandboxes, and Digital Wallet monitoring

• Architect governed Agent force adoption programs — from pilot through enterprise rollout — leveraging Agent force 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 Agent Exchange 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 Agent force, Einstein AI features, and Data Cloud

Key Skills

Education

Any Gradute