Applied AI Architect - Austin, TX at Trend Micro

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied AI, LLM, SLM, Model Architecture, Fine-Tuning, Optimization, Deployment, Observability, Reinforcement Learning, Python, GPU-Accelerated Inference, AI Ops, Containerized Microservices, Data-Model-Infrastructure Trade-Offs, Scalable Infrastructure, Agentic Frameworks

Industry

Software Development

Description

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 out of our Austin, TX office and requires in-office presence three days a week. Position Summary: Trend Micro is seeking an Applied AI Architect with deep experience bridging LLM/SLM model research and enterprise productization. You will lead the technical direction from model architecture selection, fine-tuning, and optimization to deployment and observability, shaping the next generation of agentic AI for cybersecurity. This role demands both foundation knowledge acumen and production practicality — designing and validating novel approaches, then translating them into reliable, scalable solutions deployed in Trend product platform. What You Will Be Doing: Drive research-to-production of LLM/SLM systems — from design and fine-tuning to evaluation, deployment, and continual adaptation in enterprise agent workflows. Lead technical choices — determine when to apply context engineering, prompt tuning, continued pretraining, supervised fine-tuning, reasoning fine-tuning, LoRA, or RL. Architect high-performance inference and serving using vLLM, NVIDIA NIM, Triton, CUDA, or other optimized frameworks. Integrate reinforcement learning frameworks (veRL, SkyRL, Torch, Ray RLlib) to enhance reasoning, adaptability, and agent feedback loops. Develop and operationalize AI Ops pipelines — build benchmark and metrics for model evaluation, observability, drift detection, and lifecycle automation. Advance agent interoperability using A2A (Agent-to-Agent) or MCP (Model Context Protocol) for large-scale coordination. Collaborate with cybersecurity researchers to embed threat reasoning, anomaly detection, and defensive logic directly into model behavior. Publish, document, and codify reusable AI blueprints for hybrid (cloud + on-prem) deployments and future research acceleration. What We Need to See: Proven end-to-end experience bringing LLM/SLM research into production — from fine-tuning and inference optimization to evaluation and AI Ops integration. Excellent knowledge on at least one of the following: Deep understanding of data-model-infrastructure trade-offs and optimization under real business constraints. Hands-on with at least one fine-tuning or adaptation framework (ex: LLaMA Factory, NeMo, PEFT, LoRA, Transformers). Strong knowledge of GPU-accelerated inference (ex: vLLM, NIM, Triton, CUDA, NCCL, PyTorch/XLA). Familiarity with AI Ops toolchains (ex: Weights & Biases, MLflow, Ray Serve, BentoML). Proficiency in Python, and experience building containerized AI microservices (ex: Docker, Kubernetes, Ray). 3+ years of applied AI/ML research or engineering, including 2+ years in production-scale deployment. Ways to Stand Out: Demonstrated success in building scalable infrastructure and launching LLM/SLM-based features and agent systems within enterprise platforms. Expertise in quantization, distillation, or GPU profiling to lower inference cost. Clear conceptual understanding of when to fine-tune vs prompt-engineer vs use RLHF — and evidence of having applied each effectively. Familiarity with agentic frameworks (LangChain, AWS Strands, AutoGen, etc). Deep understanding of A2A/MCP protocols for interoperable multi-agent systems. Mindset Requirements: Research-driven yet delivery-focused — capable of balancing innovation with practical deployment. Data- and results-oriented — every hypothesis must be measurable. Ownership mentality — from exploration and experiment to evaluation, optimization, and monitoring. Passionate about turning AI research into defensible, intelligent, and proactive cybersecurity systems. Why Join Trend Micro? Trend Micro is pioneering agentic cybersecurity, combining large and small language models with global defense intelligence. You’ll work on production-grade AI systems that reason, learn, and protect, directly influencing how enterprises stay ahead of evolving threats. Join us to turn research excellence into real-world security impact — protecting millions of users worldwide. What We Offer You: You're important to us. What matters to you, matters to us too. Trend Micro provides benefit options for you and your family. 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. Be Passionate. Be Innovative. Be a Trender. This position does not offer sponsorship for work permit applications or renewals, either now or in the future. Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship, both currently and moving forward. The company will not sponsor applicants for U.S. work visa status for this role (including, but not limited to, H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). #LI-TL1 At Trend Micro, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. Trend Micro provides equal employment opportunity for all applicants and employees. Trend Micro does not unlawfully discriminate on the basis of race, color, religion, sex, pregnancy and childbirth or related medical conditions, national origin, ancestry, age, physical or mental disability, medical condition, family care leave status, veteran status, marital status, sexual orientation, or gender identity. Don't see the dream job you are looking for? Drop off your contact information and resume. We will reach out to you if we find the perfect fit! For over 30 years, Trend Micro's unwavering vision has been to make the world safe for exchanging digital information. Security is our entire focus, and it shows. This single-minded passion has inspired our innovations that keep up with the bad guys despite a changing IT landscape, riskier user behavior, and constantly evolving threats. We embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. At Trend Micro, we're always looking for top talent and you will work with the best. With us, you have the opportunity to thrive in an industry that is dominating the news worldwide. Explore Working at Trend https://www.trendmicro.com/en_us/about/careers.html

Responsibilities

Drive the research-to-production of LLM/SLM systems, overseeing design, fine-tuning, evaluation, deployment, and adaptation in enterprise workflows. Collaborate with cybersecurity researchers to integrate threat reasoning and anomaly detection into model behavior.