AI Platform Engineer

KUNGFU.AI is a leading AI-native consulting firm that partners with organizations to help them navigate the complexities of AI transformation. The Platform Engineer role involves collaborating with Machine Learning Engineers and Data Scientists to design architecture, build infrastructure, and establish frameworks for production-grade AI systems. This position emphasizes teamwork and strategic thinking to enhance infrastructure delivery and standards across client projects.

Responsibilities:

• Design and maintain reference architectures, templates, starter kits, and golden paths that standardize infrastructure patterns across client engagements
• Lead select client projects, including building trusted client relationships and owning infrastructure delivery with light DoE support
• Drive code quality and infrastructure standards across project teams — through code review, pairing, and establishing conventions
• Evaluate and rapidly adopt emerging cloud services, infrastructure tooling, and deployment patterns, recommending adoption where they benefit the team
• Contribute to SOW development by scoping infrastructure effort, identifying risks, and defining technical approach for proposals
• Work with strategy teams to advise on feasibility and help scope engineering efforts on roadmaps as they are being developed
• Coordinate cross-functionally with BD, marketing, and strategy teams on infrastructure-related topics
• Navigate ambiguity in client environments — where requirements are unclear, constraints are evolving, and the 'right' architecture isn't obvious
• Drive long-term strategic thinking about infrastructure patterns, tooling choices, and platform maturity for the engineering organization
• Mentor junior and senior engineers on both technical and non-technical dimensions