Sr Software Development Engineer

Salesforce Developer

Role Summary

As a 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