AI Platform Engineer - Austin, TX

Trend Micro•Austin, TX

2d•Hybrid

About The Position

Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information across enterprises, governments, and consumers. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend harnesses AI to protect organizations and individuals across clouds, networks, devices, and endpoints. The Trend Vision One™ enterprise cybersecurity platform accelerates proactive security outcomes by predicting and preventing threats across the entire digital estate and environments like AWS, Google, Microsoft, and NVIDIA. Proactive security starts here. TrendMicro.com Location: This is a hybrid role based in our Austin, TX office with an expectation of 3 days onsite per week. Position Summary: Do you love creating elegant solutions to highly complex challenges? Do you instinctively see the importance in every detail? We are looking for an AI Platform Engineer to help define how engineers build with AI across our organization. In this role, you’ll sit at the intersection of Generative AI and platform engineering, designing the tools, workflows, and standards that make it easy for developers to build, deploy, and scale AI-powered applications. Your work will directly shape how teams adopt and use AI making it more accessible, reliable, and impactful. You’ll join a lean, high-impact team where collaboration is key. We work closely with engineering, infrastructure, and security partners to ensure the solutions we build are scalable, secure, and solve real-world problems.

Requirements

7+ years of software development experience
Strong programming skills and engineering fundamentals
Experience with modern software delivery practices (CI/CD, cloud environments, etc.)
Familiarity or interest in AI/ML systems, particularly LLM-based applications
Strong problem-solving skills and attention to detail
Ability to collaborate across teams and influence without direct authority
Curiosity and a continuous learning mindset

Responsibilities

Define the AI Development Lifecycle: Establish and evolve the end-to-end AI development lifecycle, including guardrails, context management, and engineering standards that enable responsible and efficient AI adoption.
Drive Adoption & Alignment: Lead cross-functional initiatives that improve how teams build and ship software, with a focus on scaling AI capabilities and enhancing developer experience.
Build for Developers: Design and deliver self-service capabilities that simplify how engineers build, test, and deploy applications—especially AI-powered ones. This includes reusable tooling, templates, and patterns that reduce friction and accelerate delivery.
Raise the Engineering Bar: Set and uphold high standards for platform and AI engineering. Mentor engineers and stakeholders, and promote clean, scalable, and maintainable design practices.
Think Like a Product Owner: Treat internal platforms and AI capabilities as products. Continuously iterate based on developer feedback, usability, and adoption metrics.
Enable AI at Scale: Develop the foundational components that allow teams to safely and effectively leverage AI, including shared services, reusable modules, and well-defined integration patterns.
Simplify Delivery & Deployment: Improve CI/CD workflows and streamline how applications are built and deployed, enabling teams to ship reliable software faster.
Improve Reliability & Operations: Strengthen system reliability and operational excellence, ensuring platforms are stable, observable, and easy to support.

Benefits

Comprehensive medical, dental and vision insurance
Life insurance
Short & Long Term Disability
Pre-partum, maternity, parental and medical leave
Mental Health Wellness Program
Adoption Assistance
Wellness Incentive
Pet Insurance
401(k) with company match
Paid Time Off
14 Annual Holidays
Tuition Assistance
Employee Resource Groups
We offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities.
Achieving work-life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work.