AI Platform Engineer - Austin, TX

Trend Micro•Austin, TX

12h•Hybrid

About The Position

Trend Micro is seeking an AI Platform Engineer to help define how engineers build with AI across the organization. This role sits at the intersection of Generative AI and platform engineering, focusing on designing tools, workflows, and standards to simplify the building, deployment, and scaling of AI-powered applications. The engineer will work closely with development, infrastructure, and security teams to ensure solutions are scalable, secure, and address real-world problems. This is a hybrid role based in Austin, TX, requiring 3 days onsite per week.

Requirements

5+ years of software development experience
Strong programming skills and engineering fundamentals
Experience with modern software delivery practices (CI/CD, cloud environments, etc.)
Strong problem-solving skills and attention to detail
Ability to collaborate across teams and influence without direct authority
Curiosity and a continuous learning mindset

Nice To Haves

Familiarity or interest in AI/ML systems, particularly LLM-based applications
Experience with workflow frameworks such as Temporal.io
Experience with golang & python

Responsibilities

Define and evolve the end-to-end AI development lifecycle, including guardrails, context management, and engineering standards for responsible AI adoption.
Lead cross-functional initiatives to improve software development processes, focusing on scaling AI capabilities and enhancing developer experience.
Design and deliver self-service capabilities, reusable tooling, templates, and patterns to simplify how engineers build, test, and deploy AI-powered applications.
Set and uphold high standards for platform and AI engineering, mentoring engineers and promoting clean, scalable, and maintainable design practices.
Treat internal platforms and AI capabilities as products, continuously iterating based on developer feedback, usability, and adoption metrics.
Develop foundational components for safe and effective AI leverage, including shared services, reusable modules, and integration patterns.