Lead Engineer – AI Trust & Governance

Salesforce

Lead Engineer developing full stack AI governance platform for Salesforce. Designing and implementing secure, scalable solutions for enterprise-wide AI governance.

Posted 5/29/2026full-timeSan Francisco • California, Illinois, New York • 🇺🇸 United StatesSenior💰 $172,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

full stack developmentfront-end frameworksAPI designdistributed systemsback-end application developmentcloud-native architectureCI/CD pipelinesautomated testingmonitoring capabilitiesGenerative AI

Soft Skills

technical leadershipcollaborationcommunicationarchitectural judgmentmentoringinfluencing design decisionsworking across ambiguityownershipproblem-solvingstakeholder engagement