Software Engineering LMTS- AI/LLM
Core
Lead the architecture and engineering roadmap for Salesforce's Trusted Supply Chain platform, building AI-native agentic systems to secure the design, code, build, and run phases of the SDLC.
Role type
Senior IC Lead MTS (Supply Chain Security & Agentic AI)
Builds
Third-party-package security, vulnerability management, attribution, remediation, and runtime defense services for the Salesforce SDLC.
Domain
Cloud Security / Software Supply Chain / Agentic AI Engineering
Deliverable
production ML models | infrastructure
Required skills
System architecture and multi-year roadmap definition, Agentic AI system design (multi-agent orchestration, tool-augmented reasoning), Production LLM integration (RAG, function calling, guardrails), Container-based public-cloud environments (Kubernetes, Istio), Secure-by-default coding patterns, Stateful service-oriented architectures, Relational and NoSQL data stores, Pub/sub messaging systems (Kafka, RabbitMQ), Mentorship and technical strategy execution.
Preferred skills
Experience with modern AI developer stack (LangGraph, CrewAI, MCP), AI-assisted coding tools, AI safety and reliability practices.
Technologies
Go, Java, Python, Rust, C#, Docker, Kubernetes, Istio, Kafka, RabbitMQ, SQS, Anthropic Claude, OpenAI, LangGraph, CrewAI, AutoGen, LangSmith, Braintrust.
Responsibilities
Own the architecture vision and multi-year roadmap for the Trusted Supply Chain platform, Lead the AI-native rebuild of the supply-chain stack, Champion operational excellence and fault isolation, Partner with PMs and EMs on build-vs-buy decisions, Coach application teams on supply-chain and AppSec best practices, Mentor engineers and raise the technical bar.
Seniority
Senior, hands-on IC with leadership responsibilities
