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 Co. Pilot 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