Forward Deployed AI Engineer - Austin, TX

Trend Micro•Austin, TX

15d•Hybrid

About The Position

Trend Micro is seeking highly skilled Senior Forward Deployed Engineers to join our dynamic team. In this role, you will lead the deployment, management, and optimization of our security solutions for strategic customers. You will partner closely with development, product, and customer success teams to drive seamless integration, customization, and ongoing support. This position may involve occasional travel, primarily within North America. We’re looking for bold, inventive minds who can explore, innovate, and apply AI to tackle diverse enterprise challenges. From building AI agents and LLM-powered applications to optimizing MLOps and cloud-native workflows, you’ll have the freedom to experiment, innovate, and deliver real impact.

Requirements

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related fields.
6+ years of software engineering experience, with proven customer-facing deployments.
Full-stack development proficiency (e.g., JavaScript/TypeScript with React; backend in Node.js, Python, Go, or Java).
Experience with cloud platforms such as AWS, Azure, or GCP
Proficiency with AI-integrated IDEs (e.g., Claude Code, VS Code with Copilot)
Effectively prompt LLMs using efficient prompting techniques to accelerate boilerplate reduction, refactoring, and testing.
Familiarity with the Model Context Protocol (MCP) for connecting LLMs to external data sources is a major plus.
Knowledge of LLM model evaluation
Hands‑on experience with LLM/SLM fine‑tuning, including SFT, PEFT/LoRA, and alignment approaches such as RLHF
Familiarity with agentic frameworks such as LangChain, AutoGen, or AWS Strands
Proven ability to deploy LLMs as containerized microservices using Docker, Kubernetes, or similar orchestration systems
Willingness to travel for client engagements or project collaborations
Strong problem-solving skills and ability to mentor junior engineers

Nice To Haves

Advanced SQL/data modeling and containerization (Docker, Kubernetes).
CI/CD pipeline expertise (Jenkins, GitLab CI).
Experience leading cross-functional projects or technical consultations.
Excellent stakeholder communication and teamwork in fast-paced environments.

Responsibilities

Analyze complex customer environments and data workflows to design AI‑driven security architectures tailored to their unique risk profiles and operational needs
Lead end‑to‑end deployment of AI‑powered solutions, including model integration, inference‑pipeline customization, and advanced configuration of intelligent security systems.
Engineer and orchestrate Trend Micro AI and cybersecurity technologies into scalable, optimized solution stacks that enhance threat detection, automation, and overall system efficacy.
Rapidly prototype, train, and deploy AI models and automation workflows to address evolving customer challenges, leveraging both classical ML and modern generative AI techniques.
Collaborate with engineering leads to refine deployment methodologies and contribute to product roadmaps.
Continuously research emerging AI, ML, and cybersecurity trends, applying new techniques and innovations to drive superior customer outcomes and maintain a competitive technology edge.