Lead AI Engineer- GTM Systems
Core
Define the technical vision and architecture for AI-powered Go-To-Market (GTM) systems, balancing low-code automation with custom agentic AI workflows.
Role type
Senior Individual Contributor Lead AI Architect
Builds
Enterprise-grade GTM systems integrating low-code platforms (Workato, Salesforce Flow) and custom LangGraph agents
Domain
IoT, SaaS, Go-To-Market automation, Agentic AI
Deliverable
production ML models | product features | infrastructure
Required skills
LLM orchestration, Agentic AI frameworks (LangGraph, LangChain), RAG system design, Backend engineering (Python/Node.js), Cloud infrastructure (AWS), Low-code platform strategy, Enterprise integration patterns
Preferred skills
LLM evaluation and observability tooling, Sales/Deal desk workflow knowledge, Model Context Protocol (MCP), Salesforce data integration
Technologies
LangGraph, LangChain, CrewAI, LlamaIndex, Workato, MuleSoft, Salesforce Flow, AWS Bedrock, FastAPI, Python, Node.js, Vector databases
Responsibilities
Define reference architectures and design patterns for GTM engineering teams, Lead architectural design for high-complexity multi-system integrations, Drive adoption of emerging AI tools and frameworks, Serve as technical authority on LLM orchestration and prompt safety, Champion scalable low-code-first strategies, Partner with VP-level stakeholders to translate business goals into roadmaps, Conduct architecture reviews and produce internal thought leadership
Seniority
Senior, hands-on IC with organization-wide scope
