Lead Machine Learning Engineer

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Position is located in Raleigh, NC (Hybrid schedule)

Must Haves:
* 10+ years experience building production-grade ML systems at scale
* People management/leadership/mentorship experience
* Strong LLM, GenerativeAI, RAG deployment experience
* Expertise designed systems in cloud environments (AWS, Axure or GCP)
* Hands-on work with Kubernetes, containerizsiton, and scalable inference systems
* Experience designing agentic systems and tool orchestration frameworks
* Ability to implement and govern MCP servers or structured architectures
* Strong python background

Day to Day:
We are seeking a Sr. Machine Learning Engineer to define and lead the architecture of scalable AI/ML and agentic systems across our global product portfolio. This is a senior technical leadership role for someone who thrives at the intersection of:
* Large-scale distributed ML systems
* LLM and RAG architectures
* Agentic AI frameworks and tool orchestration
* Enterprise platform engineering
You will shape the long-term AI platform strategy and establish technical standards that impact millions of users.
What You’ll Do Architect Scalable AI Platforms
* Define reference architecture for LLM, ML, and agent-based systems across products.
* Design high-availability, low-latency inference platforms for global scale.
* Establish reusable platform components for model lifecycle, deployment, and monitoring.

LML1468212_1787250585

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