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# Lead Machine Learning Engineer

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Google Cloud, Cloud Platform System, Large Language Models, Multi-Agent Systems, Model Validation, Reliability of Systems, Generative AI, Containerization, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/03f3a747-7c27-44f2-93a0-99e381b28b65

## About the Role

* 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 Google Cloud Platform)
 * 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

## Description

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


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