AI Architect - Software Engineering

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.The RoleWe're hiring an AI Cloud Architect to help shape how agentic systems are built, deployed, and scaled at Salesforce. You'll work at the frontier of the Agentforce platform — inventing new primitives, incubating next-gen agentic systems, partnering directly with customers, and setting architectural direction for how enterprise AI agents work in production.This is a builder-communicator role. You'll write code and whitepapers, design runtimes and present to executive leadership.What You'll DoInvent and IncubateDrive fundamental advances in agentic AI — new execution models, agent orchestration frameworks, and stateful runtime architectures. Lead incubation projects exploring next-generation agentic systems for the enterprise, including OpenClaw-style reasoning architectures and emerging multi-agent coordination patterns. The kind of work that produced Agent Graph, AgentScript, and the Graph Runtime powering Agentforce today.Shape the Core PlatformInfluence core architectural decisions across Agentforce — agent determinism, A2A protocols, long-running async workflows, and context engineering. Contribute adjacently to the agent development lifecycle — including Agent Builder, Agent Testing Center, and Agent Observability — helping define how developers build, validate, and monitor agents end-to-end.Partner with customersWork directly with strategic customers to understand their business context and co-design solutions using Agentforce. Translate complex agent capabilities into concrete, trustworthy outcomes — from proof-of-concept to production.Write and communicate with convictionProduce technically rigorous, persuasive content — design docs, engineering blog posts, developer documentation, and external presentations. You have a clear point of view and can defend it.What We're Looking ForTechnical depth10+ years of experience in Software EngineeringExpert in distributed systems, stateful runtimes, and LLM-based agent architecturesExperience building orchestration frameworks, graph-based execution engines, or agent DSLsStrong grasp of LLM behavior, context management, and agent reliability in productionFluency in Python and Java; comfortable with cloud-native infraCuriosity about and familiarity with frontier agentic research — reasoning loops, tool use, memory architectures, and multi-agent systemsBuilder track recordYou've shipped durable technical artifacts — platforms, frameworks, or open-source projects others build onComfortable going from early-stage experiment to prototype to GA in fast-moving environmentsExperience with incubation, 01 projects, or founding engineer environments is a strong plusCommunication and customer instinctsExceptional written communication — from design docs to customer whitepapersCan speak to a developer, an enterprise architect, and a CIO with equal clarity and credibilityExperience engaging enterprise customers as a trusted technical advisorCollaboration and influenceDrives alignment across engineering, product, and field without requiring authorityRaises the technical bar around them — a natural teacher and force multiplierNice to HaveOpen-source community experience or developer advocacy backgroundFamiliarity with Salesforce platform primitives (Flow, Apex, Einstein, metadata)Background in ML infrastructure, data engineering, or AI platform workExperience with language/compiler design (relevant to DSL authoring systems like AgentScript)Familiarity with observability tooling, testing frameworks, or developer experience platformsWhy This RoleThe agentic AI space is moving fast, and the hardest problems — agent determinism, stateful long-running workflows, multi-agent coordination, enterprise-grade reliability, next-gen reasoning architectures — don't have solved answers yet. You'll work alongside exceptional systems thinkers and lead incubation work that could define the next chapter of Agentforce, while also contributing to the platform that already ships to millions of customers. It's rare to find a role that demands both deep invention and real-world enterprise impact. This one does.Unleash Your PotentialWhen 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.AccommodationsIf 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 StatementSalesforce 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: 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 $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.SummaryLocation: California - Palo Alto; Washington - Seattle; California - San FranciscoType: Full time