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

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.

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

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

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

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