-
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
-
BS in Computer Science, Engineering, Machine Learning, or related field
-
5+ years of experience in Salesforce development or architecture, with at least 2 years focused on AI/ML integration within enterprise platforms
-
Salesforce Certified Agentforce Specialist
-
Strong understanding of Salesforce AI capabilities, including Einstein GPT, Prompt Builder, and Copilot Studio
-
Hands-on experience with LLM integration into Salesforce workflows, including custom/private model orchestration
-
Familiarity with Agentforce principles and autonomous agent design within Salesforce or similar platforms
-
Strong communication skills with the ability to translate complex AI concepts into business-friendly language
-
Proficiency in Apex, Lightning Web Components (LWC), and Salesforce APIs for building and integrating intelligent solutions
-
Ability to collaborate with Salesforce Platform Architects, Cross-Domain Architects, OCTO, and Governance Leads to align AI architecture with enterprise standards
-
Strong understanding of data privacy, security, and governance considerations in AI model deployment
-
MS in Computer Science, Engineering, Machine Learning, or related field
-
Salesforce Certified Data Cloud Consultant
-
Knowledge of Salesforce metadata architecture and how it can be leveraged for AI-driven automation
-
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using external content sources (e.g., enterprise knowledge bases, vector databases)
-
Experience contributing to AI governance frameworks, including model lifecycle management and ethical AI practices
-
Background in prompt engineering, vector search, or semantic retrieval techniques
-
Ability to multitask, working on more than one assignment simultaneously
-
Flexibility to support in other time zones, if required
