Senior HR Business Partner, AI Compute

Description

The Sr. HR Business Partner for AI Compute serves as a strategic people partner to leaders across Amazon's AI Compute organization, encompassing Sage Maker and Forge Infrastructure. This role provides direct HR support to Director-level leaders managing ~800+ engineers and technical program managers building the compute infrastructure that powers Amazon's AI services.

This HRBP will own the full talent lifecycle for their client groups including workforce planning, organizational design, performance management, leadership coaching, and retention strategy in a fast-moving, high-growth domain and the technical complexity of the work demands deep business acumen. The role requires navigating ambiguity in a recently integrated organization while building trusted advisory relationships with senior technical leaders.

Key focus areas include:

• Partnering with Directors on org design, talent calibration, and succession planning

• Driving performance management rigor through talent review facilitation, coaching, and performance management

• Building retention strategies for critical technical talent in a highly competitive AI/ML market

• Supporting organizational change as new teams stand up and integrate

• Translating workforce data into actionable insights for business leaders

• Coaching managers on leadership development, team health, and delivering effective feedback

• The ideal candidate brings 5+ years of progressive HRBP experience, comfort operating in technical engineering organizations, strong consultation and influencing skills, and the ability to move quickly between strategic planning and hands‑on execution.

• Partner with Directors across to deliver people strategies that support business objectives

• Own workforce planning, headcount management, and org design recommendations as the organization scales

• Facilitate talent review calibration sessions; ensure rating consistency and follow‑through on talent actions

• Coach managers on performance management

• Develop and execute retention strategies for critical technical talent in AI/ML

• Support organizational change and team integration as the org stands up and the broader AI - Compute org evolves

• Translate workforce analytics into actionable insights for leadership decisions

• Drive succession planning and bench development for key leadership roles

• Partner with recruiting on hiring strategy, diverse slate execution, and interview quality

• Advise on compensation positioning, off‑cycle adjustments, and pay equity

• Conduct skip‑level meetings and engagement pulse analysis to surface team health signals

Your focus is being the people partner that Directors in AI Compute actually want to talk to. You'll coach them through performance conversations, build retention cases when top engineers competing offers, and facilitate calibration sessions that ensure equitable outcomes. You'll run skip‑levels to stay connected to how teams are feeling, partner with recruiting to keep hiring moving in a brutally competitive AI talent market, and help leaders think through org design as the organization scales.

When things shift (and they will), you're the one making sure the people side doesn't get left behind.

We're the HR team inside one of AWS's fastest-growing AI organizations. Our engineering partners build the infrastructure that powers machine learning & AI for our customers - from startups training their first model to enterprises running AI  culture is deeply technical, fast‑moving, and treats ambiguity as an invitation to invent. You'll join a small HR team that operates as a true strategic partner to the business.

The mission: help this organization scale to the moment and build the best AI organization on the planet.

• Bachelor's degree in Human Resources, Human Resources Management, Labor Relations, Business/Management, Psychology, or a related field

• 5+ years of human resource business partner or blend of operations and HR experience

• Experience influencing senior leaders/stakeholders

• Experience analyzing HR data and translating metrics into actionable workforce strategies

• Experience in talent management,…