Lead Software Engineer - Enterprise Agents

Salesforce•San Francisco, CA

2d•Hybrid

About The Position

Salesforce is seeking a Lead Software Engineer to join their Enterprise Agents team. This role focuses on building enterprise-grade AI Agents, with a strong emphasis on production Agent architecture. The ideal candidate will be a well-rounded software engineer with deep, hands-on experience in Agent systems that enterprise customers rely on at scale. The position involves operating across the full stack while specializing in Agent systems. The role is critical for the upcoming General Availability (GA) of these AI Agents, requiring a balance of speed, reliability, security, and observability expected by enterprise customers. The engineer will contribute broadly across the backend and platform codebase.

Requirements

A related technical degree, or equivalent hands-on experience.
8+ years of professional software development experience, including production experience architecting and shipping Agent-based systems.
Strong computer science fundamentals: data structures, algorithms, distributed systems, and API/service design.
Deep knowledge of object-oriented programming and proficiency in at least one OOP language (Java, JavaScript, C++, C#, Ruby, Python).
Solid experience with databases (SQL/NoSQL), REST/GraphQL API design, and building scalable, secure backend services.
Familiarity with cloud infrastructure, CI/CD pipelines, and modern software delivery practices.
Proven experience with Agent orchestration frameworks, tool-calling patterns, and LLM integration in production environments.
Strong understanding of the reliability, security, and observability requirements unique to enterprise-grade Agent systems (guardrails, evaluation, monitoring, failure handling).
Demonstrated AI-first engineering approach — fluent use of AI tools (Claude Code, GitHub Copilot, Codex, Cursor, etc.) in daily development.
Advanced prompt engineering skills — precise, structured prompting and system-context design that makes Agent outputs reliable and production-ready.
Excellent interpersonal skills and the ability to work with high autonomy under tight timelines.

Nice To Haves

Prior experience taking an Agent product from build to GA at enterprise scale.
Experience with Agile software development and test-driven development.
Experience with large-scale, multi-tenant SaaS platforms.
Track record as a top performer in current and past roles.

Responsibilities

Architect, design, implement, test, and deliver production-grade software systems, including Agent capabilities built for scale and enterprise reliability.
Write high-quality, maintainable, well-tested code across services, APIs, and data layers, not just Agent-facing components.
Design orchestration patterns where AI Agents integrate into human and system workflows securely and predictably.
Build and maintain the shared system context, which includes the explicit repository of design constraints, guardrails, and standards that keeps Agent behavior accurate and reliable in production.
Drive the technical path to GA by defining readiness criteria, closing architecture gaps, and de-risking the timeline.
Debug, troubleshoot, and resolve complex issues across the stack, from infrastructure to application logic.
Critically evaluate code and Agent behavior (human- or AI-generated) for correctness, security, and performance.
Participate in on-call rotation to keep services operational and highly available.
Mentor others on both general software engineering practices and Agent architecture patterns.
Present designs to internal/external stakeholders and review the designs of others.
Collaborate cross-functionally with product, design, and other engineering teams to ship end-to-end features.