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Lead Machine Learning EngineerMotion Recruitment • Raleigh, North Carolina, United States
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Motion Recruitment • Raleigh, North Carolina, United States
11 days ago
Job type
  • Full-time
Job description

Our Client serves customers in over 150 countries with trusted legal, regulatory, and business information. They are transforming the legal industry through cutting-edge AI, scalable data platforms, and intelligent research systems that power high-stakes decision-making for legal professionals worldwide. Their Global AI Platform Team builds the foundational infrastructure behind next-generation AI products, including LLM-powered research assistants, retrieval systems, and enterprise-grade agentic workflows.

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
  • le.Establish reusable platform components for model lifecycle, deployment, and monitori
  • Lead Agentic AI & Tool Ecosystems
  • Architect multi-step, reasoning-driven agent systems
  • Design orchestration patterns for tool use, API invocation, and structured function calling
  • Lead implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management
  • Define guardrails, permissions, and audit mechanisms for enterprise-safe AI systems
  • Elevate Engineering Standards. Set best practices for MLOps, CI/CD, observability, and system reliability
  • Embed Responsible AI principles across platform architecture
  • Mentor senior engineers and influence technical direction across teams

What We’re Looking

For Experience/Education requirement

  • 10+ yrs of experience with Master’s degree or 12+ yrs of experience with bachelor degree
  • 10+ years building production-grade ML systems at scale
  • Extensive experience with LLMs, generative AI, and RAG systems in real-world deployments
  • Proven expertise designing distributed systems in cloud environments (AWS, Azure, or GCP)
  • Hands-on experience with Kubernetes, containerization, and scalable inference systems
  • Experience designing agentic systems and tool orchestration frameworks
  • Experience implementing or governing MCP servers or structured tool-calling architectures
  • Technical Strength/Strong Python engineering background
  • Experience with vector databases and search systems
  • Deep understanding of model evaluation, reliability, and monitoring
  • Strong architectural judgment and systems thinking
  • Leadership/Demonstrated ability to influence technical direction across teams
  • Strong communication skills and executive presence
  • Experience mentoring senior engineers or leading cross-functional initiatives
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Lead Machine Learning Engineer • Raleigh, North Carolina, United States

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