Principal AI Systems Architect for LLM Workflows

Salesforce; Massachusetts; On-site; USD 173,000 - 345,000; Full time

Job summary

Salesforce seeks a Principal Engineer for Salesforce AI Labs to own architecture across agent and backend systems, delivering reliable, scalable LLM-powered workflows. You will design, implement, and validate end-to-end solutions while interfacing with customers to prototype and refine deployments.

You will mentor engineers, influence product roadmap through design reviews, and drive security and performance in production-grade systems.

Qualifications

• Led the architecture and delivery of complex backend systems with impact across teams.
• Hands-on experience shipping and operating LLM-powered systems.
• Proven ability to reason through concurrency, state, retries, and partial failures.
• Proficient in Python, Go, Java, or JavaScript/TypeScript.

Responsibilities

• Design and build systems that learn from demonstrations and combine AI reasoning with deterministic execution.
• Develop recovery and verification capabilities to adapt to changes and confirm outcomes.
• Build backend services with robust workflow state management and secure access to environments.
• Create evaluations and diagnostics to measure task success and expose regressions.
• Work with customers to prototype solutions and validate results in their environments.
• Lead architectural decisions across agent execution and backend services.

Skills

Backend architecture

LLM systems

Python

Go/JavaScript/Java

Job description

Salesforce seeks a Principal Engineer for Salesforce AI Labs to own architecture across agent and backend systems, delivering reliable, scalable LLM-powered workflows. You will design, implement, and validate end-to-end solutions while interfacing with customers to prototype and refine deployments.

You will mentor engineers, influence product roadmap through design reviews, and drive security and performance in production-grade systems.