Principal Architect

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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.

What You’ll Be Doing:

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.

Responsibilities:

• 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.

• Build the Infrastructure for Agents: Design advanced system topologies, multi-agent orchestration frameworks, and context-bounding mechanisms that allow AI agents to safely operate on large, complex codebases. Agentic identity, trust, compliance and governance must be at the forefront of your mind as they are the pivotal decision point for Enterprises

• 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-critical production systems that operate with high availability, strict security postures, and predictable performance characteristics.

• Desire to explore and build new design patterns: Never an incremental thinker, shaping the industry, global economy and positive advancement of new ways humans interact with technology and new patterns that open up all new patterns and products.

Even Better If You Have:

• Production-Grade Agentic Experience: Beyond prompt engineering and casual IDE extensions, you have designed, built, or heavily customized production-grade agentic workflows, multi-agent choreographies, or autonomous code-generation loops.

• Cognitive Architecture Fluency: Deep understanding of frontier or open source LLM architectures, context-window dynamics, RAG systems, function-calling mechanics, and fine-tuning paradigms specifically applied to software engineering tasks.

• Deterministic Systems for Non-Deterministic Models: Proven ability to build deterministic guardrails around probabilistic models—including complex evaluation harnesses, property-based testing, and automated mutation testing.

• Mitigation of Edge-Case Failures: Deep expertise in detecting and defending against advanced agentic failure modes: hallucinated dependencies, subtle architectural regressions, shallow test generation, hidden coupling, and security vulnerabilities.

• Tooling Agnosticism: Ability to critically evaluate, bench, and selectively integrate emerging foundation models, AST (Abstract Syntax Tree) parsers, orchestration frameworks, and developer tools with empirical rigor.

• Has built or design Agentic Identity, governance and security: Expertise in flow proxy, system design of identity, authorization, compliance and observability systems

LI-Y*

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $257,500 - $451,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $310,200 - $496,400 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.