Lead Software Engineer - Enterprise Agents

Description

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 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.

Lead Software Engineer — Enterprise Agents (Specialty Requirement)

IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES

Join our team building enterprise-grade AI Agents headed for GA in the coming months. We need a strong all-round software engineer who also brings deep, hands-on experience in production Agent architecture — someone who can operate across the full stack while specializing in Agent systems that enterprise customers rely on at scale.

Your Impact:

You'll own the architecture and delivery of production Agent capabilities under real GA timeline pressure — balancing speed with the reliability, security, and observability enterprise customers expect, while also contributing broadly across our backend and platform codebase.

As part of this role, you will:

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 — the explicit repository of design constraints, guardrails, and standards that keeps Agent behavior accurate and reliable in production

Drive the technical path to GA: define readiness criteria, close architecture gaps, and de-risk 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

Required Skills:

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

Office-Flex: Work in-person at least 10 days per quarter

Preferred Skills:

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

Benefits

• Check out our benefits site — wellbeing reimbursement, parental leave, adoption assistance, fertility benefits, and more.
• Salesforce Information:
• Check out our Salesforce Engineering Site .
• 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.