Lead Engineer – AI Trust & Governance

🕒 May 29

🏢🏡 San Francisco – Hybrid

💵 $172.5k - $260.1k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Lead the end-to-end design, development, and scaling of the AI governance platform, building both the front-end and back-end components that support enterprise wide AI governance • Use AI development tools such as Claude and other coding assistants as part of the software development lifecycle to accelerate delivery, improve code quality, prototype faster, and enhance engineering productivity • Design and build secure, scalable, and resilient cloud native infrastructure on AWS to support platform services, governance workflows, system integrations, and application performance at enterprise scale • Build and support platform capabilities that enable AI and machine learning systems to be governed, monitored, tracked, and managed throughout their lifecycle, including services that support model and agent operations • Bring practical knowledge of CI/CD concepts, automated testing, and deployment workflows, and release management practices to help ensure the platform can be delivered reliably across environments • Define and drive the overall platform architecture, including service design, API strategy, data flows, integration patterns, event-driven workflows, and system scalability considerations • Develop monitoring capabilities that provide insight into system health, application performance, workflow execution, service reliability, and platform usage across the governance ecosystem • Build observability components that capture logs, metrics, traces, and runtime telemetry across platform services, enabling deeper diagnostics, issue detection, root cause analysis, and ongoing operational intelligence • Assist with designing and developing Generative AI capabilities as part of the platform, including LLM powered features, intelligent workflows, agent-based functionality, and other AI native applications • Provide strong technical leadership across the stack, establish engineering standards, influence design decisions, mentor other engineers, and take ownership of delivering a strategic platform from the ground up • Partner closely with product, architecture, security, compliance, governance, and engineering stakeholders to translate business goals and trust requirements into scalable technical solutions

🎯 Requirements

• 10+ years of professional software development experience with significant depth across both front-end and back-end development • Strong hands-on expertise in full stack development, including modern front-end frameworks, API design, distributed systems, and back-end application development • Proven experience building complex platforms or enterprise applications from scratch • Deep experience with AWS and cloud-native architecture, including designing scalable, secure, and production grade systems • Strong experience with platform engineering, developer infrastructure, and production software delivery practices • Demonstrated ability to build and scale CI/CD pipelines, automated frameworks, and deployment workflows • Experience building systems with strong monitoring, observability, logging, telemetry, and operational insight capabilities • Strong architectural judgment • Experience working in environments where security, compliance, governance, and auditability are important design considerations • Comfort working across ambiguity and leading technical execution in highly visible, high-impact initiatives • Excellent collaboration and communication skills • Demonstrated experience using Generative AI as part of the software development lifecycle.

🏖️ Benefits

• time off programs • medical, dental, vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program