Full-stack Engineer

• Architect and implement AI capabilities within Salesforce, including autonomous agents, orchestration layers, and intelligent workflows using Agentforce principles
• Design and deploy Retrieval-Augmented Generation (RAG) pipelines that connect Salesforce with external content sources (e.g., enterprise knowledge bases, vector databases, private LLMs).
• Lead the integration of custom and private AI models into Salesforce, ensuring secure, performant, and governed interactions across business processes
• Collaborate with Salesforce Platform teams to embed AI into declarative and programmatic components (e.g., Flows, Apex, LWC)
• Build scalable AI services interacting with Salesforce data and metadata, enabling intelligent decision-making and automation
• Partner with data science and ML engineering teams to operationalize models within Salesforce workflows
• Work closely with Salesforce Platform Architect, Cross-Domain Architects, OCTO, and Governance Leads to align AI architecture with enterprise standards and ethical guidelines
• Partner with Cross-Domain Architects and Product Owners to translate business needs into AI-enabled Salesforce solutions
• Support product teams in identifying opportunities for AI augmentation across Lead-to-Cash and customer lifecycle processes
• Define and enforce best practices for AI model integration, prompt engineering, data privacy, and performance optimization within Salesforce
• Contribute to improving governance frameworks for AI usage in Salesforce, including model lifecycle management, auditability, and responsible AI principles
• Stay current with Salesforce AI innovations (e.g., Einstein GPT, Prompt Builder, Copilot Studio) and broader industry trends
• Create prototypes and proofs of concept to refine and define requirements.
• Design solutions that facilitate data flow and communication between disparate systems
• Support the development of new lead-to-cash processes from Account to Opportunity and the implementation of spoke systems tied to lead-to-cash across Sales, Marketing, and Channels (e.g., SFDC Account Engagement, Clari, Anaplan, Zoominfo, etc.)
• Suggest best code practices for Salesforce/other Lead-to-Cash application capabilities, making key decisions on custom solutions as necessary and translating them to a high-performance technical solution

Principal Software Engineer – Salesforce AI

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Embedded Firmware and Software Engineer – BIOS, UEFI Systems

Senior Software Engineer

Tech Lead

AVP – Software Engineering