Principal Architect

Responsibilities

• As a Principal Architect you will operate at the highest level of technical strategy and execution, blending deep architectural design with hands-on orchestration of cutting-edge AI systems.
• Architect the AI-Native Lifecycle: Define, build, and scale the foundational framework, review standards, and compilation/validation loops for autonomous, agentic software development across the entire enterprise.
• Technical Vision & Strategy: Turn highly ambiguous, long-term business goals into concrete, mathematically sound architectural plans, spec-driven development methodologies, and deterministic validation strategies.
• Establish Rigorous Evals: Lead the creation of next-generation evaluation harnesses, golden test suites, semantic CI/CD gates, and real-time behavioral monitoring to guarantee the safety, security, and deterministic correctness of agentic output.
• Pioneer Technical Taste: Act as the ultimate arbiter of code quality, structural integrity, and architectural purity, ensuring that agent-accelerated development reduces technical debt rather than compounding it.
• Cross-Functional & Industry Leadership: Partner with Executive Leadership, Product, Security, and Core Infrastructure to align technical roadmaps. Act as a thought leader internally and externally on the future of AI-native engineering.
• Mentor and Cultivate Talent: Train and elevate our Principal and Staff engineers, fostering a culture of rigorous engineering judgment in an era of rapid AI automation.
• Apply the highest ethics for the use of AI: The goal is to build the standards (or de facto open source code) that leads the industry and other companies build their company upon. You apply the mindset that AI is can benefit humanity and can be used in a creative outlet.
• You're Our Person If:
• Deep Industry Tenure: Typically 15-20+ years of professional software engineering experience building large-scale distributed systems, enterprise architectures, or foundational infrastructure (or 10+ years of hyper-dense experience backed by an advanced research degree).
• Advanced Academic or Research Background: An M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a deeply quantitative field is highly preferred, with a strong grasp of both symbolic engineering and probabilistic AI.
• Polyglot Systems Expertise: Mastery of fundamental computer science, memory management, distributed state, concurrency models, and deep proficiency in languages like Rust, Python, Go, C++, or TypeScript.
• Flawless Engineering Judgment: A proven track record of architecting mission-cri

Additional Information

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 Category Software Engineering Job Details About Salesforce Salesforce 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. Applications will be accepted until 10/26/2026. Please note this position can sit remotely anywhere in the United States The Experience: We are seeking a Principal Architect to serve as the visionary anchor for our AI-native engineering organization. You are not just a practitioner using AI productivity tools; you are a systems architect and system thinker at heart who understands the deep intersection of LLM capabilities, cognitive architectures, and enterprise-grade software engineering. You will own the technical blueprint for how our organization builds, validates, and scales high-quality software where human intellect and autonomous agents seamlessly collaborate. This role requires a rare combination of veteran engineering judgment-honed over 15 to 20+ years of building massive production systems-and cutting-edge expertise in agentic loops, reinforcement learning edge harnesses, cloud platforms and advanced AI architectures. Whether you hold a Ph.D. in Computer Science/AI, designed orchestration systems or have pioneered architectural breakthroughs in industry, you possess the rare technical gravity required to shape our engineering culture, tooling, and future.

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