Salesforce

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