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