Lead Software Engineer, Enterprise Agents

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Employment
Full-time
Posted
35 days ago
Freshness
Confirmed live today

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Similar $203k
$138k $263k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $173,637–$232,750.

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About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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TL;DR · Lead Software Engineer, Enterprise Agents

Lead Software Engineer - Enterprise Agents joins the team building enterprise-grade AI Agents for general availability. This role involves owning the architecture and delivery of production Agent capabilities, balancing speed with reliability, security, and observability. You will architect, design, and implement software systems, including Agent capabilities built for scale, while writing maintainable code across services, APIs, and data layers. Key responsibilities include designing orchestration patterns for AI Agents, maintaining shared system context, and debugging complex issues across the stack. Required skills include 8+ years of experience, proficiency in OOP languages like Java, JavaScript, C++, C#, Ruby, or Python, and knowledge of SQL/NoSQL databases, REST/GraphQL, and cloud infrastructure. You must demonstrate expertise in Agent orchestration frameworks, LLM integration, prompt engineering, and AI-first engineering tools like GitHub Copilot.

What you'll do

  • Architect, design, implement, and deliver production-grade software systems for enterprise-scale AI Agents.
  • Write high-quality, maintainable, and well-tested code across services, APIs, and data layers.
  • Design orchestration patterns to integrate AI Agents into human and system workflows securely.
  • Build and maintain a shared system context of design constraints, guardrails, and standards.
  • Define readiness criteria and close architecture gaps to drive the technical path to GA.
  • Debug and resolve complex issues across the stack from infrastructure to application logic.
  • Evaluate code and Agent behavior for correctness, security, and performance.
  • Participate in an on-call rotation to maintain service availability and operational health.

What we're looking for

  • A related technical degree or equivalent hands-on experience is required.
  • 8+ years of professional software development experience is required, including production experience architecting and shipping Agent-based systems.
  • Strong computer science fundamentals in data structures, algorithms, distributed systems, and API/service design are required.
  • Proficiency in at least one OOP language (Java, JavaScript, C++, C#, Ruby, or Python) is required.
  • Experience with SQL/NoSQL databases, REST/GraphQL API design, and building scalable, secure backend services is required.
  • Experience with Agent orchestration frameworks, tool-calling patterns, and LLM integration in production environments is required.
  • Advanced prompt engineering skills and a demonstrated AI-first engineering approach are required.
  • Prior experience taking an Agent product from build to GA at enterprise scale (preferred).

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