Software Engineer, AI Systems (PMTS)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Join a team of 10 within Salesforce AI Labs, bringing computer-use AI into production with the autonomy of a small startup and the reach of Salesforce. We're building Systems Integration Agent, announced at Dreamforce, which learns how to operate enterprise applications and turns complex workflows into reusable, code-backed automation. Customers are already running workflows in production; now we're making that success repeatable across more systems and use cases. Making computer use dependable raises hard engineering questions. How does an agent know it succeeded? When should it reason, and when should it follow a deterministic path? How should it recover when an application changes or ask for help before making a consequential mistake? You'll help answer those questions in production. Our team works directly with customers, building alongside them and turning discoveries into reusable product capabilities. As a Principal Engineer, you'll remain hands-on while shaping architecture across our agent and backend systems, owning critical capabilities from design through operation, and helping other engineers deliver them. What You'll Actually Be DoingDrive Agent Development & Architecture * Design and build systems that learn from demonstrations and combine AI reasoning with deterministic execution to complete workflows reliably. * Develop recovery and verification capabilities so agents can adapt to changes, confirm outcomes, and recognize when human intervention is needed. * Build backend services with robust workflow state management, failure handling, and secure access to customer environments. * Create evaluations and diagnostics that measure task success, expose regressions, and make failures understandable.Build Directly With Customers * Work alongside customers to understand their workflows, prototype solutions, and validate results in their environments. * Investigate where automation succeeds or fails, then turn those findings into improvements to the core product. * Help customers move from their first successful workflow toward repeatable, increasingly self-service adoption. * Partner with forward-deployed engineers and product management to decide which customer needs should shape the roadmap.Shape Technical Direction & Grow the Team * Lead architectural decisions across agent execution, backend services, and workflow state, aligning system boundaries and tradeoffs with other technical leads. * Evaluate model selection, tool use, and context management against reliability, latency, and cost. * Raise the engineering bar through hands-on implementation, design reviews, and mentoring; help engineers take on broader ownership and participate in hiring. You're Our Person If... * You've led the architecture and delivery of complex backend systems through deployment, production failures, and subsequent improvements, with impact across multiple components or teams. * You have hands-on experience shipping and operating LLM-powered systems, and can explain how evaluations and production failures informed your design decisions. * You can reason t