Lead Software Development Engineer (Lead Salesforce Developer with Foundry or copilot Studio or Vertex AI or Agentspace or Bedrock)

Lead Salesforce Developer Role Summary As a Lead Salesforce Developer, you will lead the design and delivery of complex Salesforce solutions augmented with real-world AI capabilities. This role requires hands-on experience building, integrating, and operationalizing AI-driven functionality across enterprise platforms, not limited to Salesforce-native AI features (e.g., Agentforce, Einstein). You will shape both platform strategy and AI-enabled architecture, ensuring solutions are scalable, governable, and production-ready. Key Responsibilities Salesforce Development & Architecture * Design, develop, and deploy complex Salesforce solutions using Apex, Lightning Web Components (LWC), Flow, and declarative capabilities * Drive decisions on Salesforce OOTB vs. custom solutions, with a strong bias toward scalable, maintainable architectures * Partner with architects and product leaders on mid- and high-level solution design AI-Enabled Solution Design & Integration * Design and deliver AI-powered features and workflows integrated into Salesforce solutions (e.g., intelligent automation, decision support, enrichment, copilots) * Build and integrate non-Salesforce-native AI solutions, including: * LLM-based services (e.g., OpenAI, Azure OpenAI, MS CoPilot or equivalent enterprise platforms) * Retrieval-Augmented Generation (RAG) patterns * Tool/function calling and workflow orchestration * Integrate AI services with Salesforce and downstream systems via APIs, platform events, or middleware * Ensure AI solutions are production-grade, with appropriate controls for: * Accuracy and reliability * Security and access control * Observability, logging, and error handling * Translate ambiguous business problems into practical AI-enabled technical designs, not demos or proofs-of-concept Technical Leadership & Mentorship * Lead and mentor developers across Salesforce and adjacent technologies * Conduct technical and architectural reviews, including AI design patterns and integration strategies * Define and evolve engineering standards, reusable patterns, and reference implementations Platform Health, Quality & Governance * Own service health, reliability, and performance across Salesforce and connected AI services * Lead root cause analysis and remediation for platform or AI-related incidents * Ensure AI usage aligns with enterprise governance, data privacy, and security expectations Required Qualifications * 8+ years of hands-on Salesforce development experience * Experience with Salesforce Sales Cloud, CPQ, Billing, Revenue Cloud, or Quote-to-Cash platforms * Advanced expertise in Apex, Lightning Web Components (LWC), Flow, and Salesforce data model * Proven experience leading complex, enterprise-scale Salesforce implementations * Hands-on experience building and integrating AI solutions in production environments, beyond packaged Salesforce AI features * Strong understanding of API-driven architectures, system integrations, and enterprise security models Preferred Qualifications * Experience with LLM-based application patterns (e.g., prompt engineering, RAG, agent/tool orchestration) * Experience integrating Salesforce with AI platforms such as Azure OpenAI, OpenAI APIs, or equivalent enterprise-grade AI services * Familiarity with AI evaluation, monitoring, or guardrail patterns (accuracy, determinism, regression) * Salesforce Platform Developer II and/or relevant AI/cloud certifications