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Lead Engineer - AI Trust & Governance

6 Locations💼 Full-time💰 $172,500–$172,500🗓 2026-05-29 → 2026-07-31

Core

Design and develop the front-end and back-end foundations of an AI Governance platform to enable safe, trusted, and scalable AI deployment across the enterprise.

Role type

Senior Full Stack Platform Engineer (AI Governance)

Builds

AI governance platform, governance workflows, lifecycle management, monitoring, observability, and risk controls for AI systems and agents.

Domain

Enterprise AI, Cloud Infrastructure, Platform Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Full stack development, AWS cloud-native architecture, CI/CD pipeline design, distributed systems, API design, platform engineering, observability and telemetry, technical leadership, generative AI development

Preferred skills

Salesforce ecosystem experience, AI governance and model risk platforms, Gen AI and LLM-powered systems, MLOps/LLMOps, data privacy and regulatory compliance

Technologies

AWS, CI/CD tools, modern front-end frameworks, LLM frameworks, observability stacks

Responsibilities

Lead end-to-end design and scaling of the AI governance platform; build secure cloud-native infrastructure; develop monitoring and observability components; provide technical leadership and mentorship; collaborate with product, security, and compliance stakeholders.

Seniority

Senior, hands-on IC with technical leadership

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