AI Platform Engineer Jobs in San Francisco, CA

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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.

About the Team

The Salesforce Developer Experience (DX) organization is building the future of enterprise software development.

Our mission is to make Salesforce the easiest enterprise platform to build on—not only for human developers, but also for autonomous AI agents . We are transforming traditional developer tooling into an AI-native development platform spanning IDEs, intelligent coding agents, CLI, APIs, DevOps, enterprise governance, evaluation frameworks, and cloud-native infrastructure.

We build products including Agentforce Vibes, DX Workspaces, Salesforce CLI, DevOps Center, platform APIs, developer services, and the foundational capabilities that power millions of developers and the next generation of AI-assisted software delivery.

The Role

We're looking for an exceptional Architect with deep engineering experience to help define and execute the long-term technical vision for Salesforce DX.

This is not a documentation or review-board architecture role. You will design and build high-throughput systems, write production-quality code, prototype frontier concepts, and establish how AI agents safely modify enterprise software at scale. You will partner across engineering leadership, Distinguished Engineers, product management, AI research teams, and platform organizations to solve complex technical problems around developer productivity, AI agents, enterprise trust, and software lifecycle automation.

Key Responsibilities

Define AI-Native Developer Architecture & Multi-Agent Orchestration

• Lead the multi-year architectural evolution of Salesforce’s developer platform from traditional human-in-the-loop tooling to autonomous software engineering ecosystems.

• Architect stateful, multi-agent orchestration engines capable of decomposing complex features into executable engineering tasks, generating code, handling dependencies, and self-correcting via runtime feedback loops.

• Define standardized interaction protocols (such as Model Context Protocol / MCP) and schema contracts to allow third-party AI agents, internal platform tools, and external IDE extensions to seamlessly interoperate with Salesforce services.

Deep Integration with Salesforce Runtime & Metadata Ecosystem

• Bridge modern LLM capabilities with Salesforce architectures, designing abstractions that allow agents to reason over complex org metadata, dependency graphs, Apex execution models, and LWC component hierarchies.

• Build real-time, high-precision retrieval architectures (RAG/graph-based code indexing) that provide agents with full semantic awareness of multi-million-line enterprise orgs, including custom fields, business logic, security permissions, and schema variations.

• Redefine developer interfaces (Salesforce CLI, DX Workspaces, Agentforce Vibes) so human engineers can delegate, monitor, review, and collaborate with autonomous agents within unified workflows.

Build Enterprise Trust, Security & Execution Guardrails

• Design isolated, ephemeral execution sandboxes capable of safely executing AI-generated code, running automated test suites, and performing dynamic analysis without risk to production metadata or enterprise data boundaries.

• Establish deterministic evaluation and safety frameworks to validate agent output—enforcing security compliance, static code analysis, unit test coverage, zero-trust access control, and governance rules before code merge.

• Implement fine-grained observability, audit logging, and provenance tracking for agentic modifications to ensure enterprise compliance and complete traceability of machine-generated code.

Hands-On Building, Prototyping & System Optimization

• Remain directly hands-on: write high-throughput production code (in languages like Java, Go, TypeScript, or Python), author core SDKs, and build functional prototypes for next-generation agent workflows.

• Lead high-stakes performance engineering initiatives to minimize agent context latency, optimize vector/graph search performance over large codebases, and maintain sub-second API responsiveness across distributed cloud systems.

Cross-Organizational Strategy & Technical Leadership

• Drive unified technical direction across core engineering groups—including AI Platform, Agentforce, Core Platform, Security, Trust, DevOps, and Runtime Infrastructure.

• Mentor senior architects and principal engineers across the organization, elevating engineering quality, establishing design review standards for AI systems, and fostering a culture of pragmatic innovation.

What We're Looking For

• 15+ Years of Systems Engineering: Proven track record of designing, building, and operating production-scale distributed systems and cloud infrastructure.

• Hands-On Builder Mindset: High proficiency in languages such as Java, Go, TypeScript, or Python. A track record of taking ambiguous concepts directly into production.

• Salesforce Architecture Depth: Practical understanding of Salesforce metadata architectures, deployment models, and core runtime frameworks (Apex, LWC).

• Agentic Systems Expertise: Hands-on experience with LLMs, AI agents, retrieval systems, tool calling, MCP ecosystems, evaluation frameworks, and multi-agent orchestration platforms.

• Enterprise Security & Governance: Experience implementing sandboxing, static analysis, policy enforcement, compliance, and observability for code-generation pipelines.

• Technical Leadership & Influence: Demonstrated ability to drive cross-functional technical initiatives, build consensus without direct authority, and communicate effectively with executives and engineers alike.

Preferred Qualifications

• Experience contributing to open-source developer tooling, CLI engines, or public API ecosystems.

• Background in developing agent evaluation frameworks or automated CI/CD code generation pipelines.

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 $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 $236,200 - $401,400 annually.

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