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
