Senior AI Platform Architect: Scalable LLM, Agentic Systems

Motion Recruitment Partners LLC; Raleigh (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Motion Recruitment Partners LLC seeks a Senior Machine Learning Engineer to define and lead the architecture of scalable AI/ML and agentic systems across our global product portfolio. You will shape long-term AI platform strategy, establish technical standards, and mentor engineers across teams.

You will architect multi-step, reasoning-driven agent systems, design high-availability inference platforms, and set governance for MCP servers and tool integrations, while embedding Responsible AI

Qualifications

• 10+ yrs of experience with Master’s degree or 12+ yrs with bachelor.
• 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.
• Strong Python engineering background.
• Experience with vector databases and search systems.
• Deep understanding of model evaluation, reliability, and monitoring.
• Leadership/Demonstrated ability to influence technical direction across teams.
• Strong communication skills and executive presence.

Responsibilities

• Architect scalable AI platforms across a global product portfolio.
• Define reference architecture for LLM, ML, and agent-based systems.
• Design high-availability, low-latency inference platforms for global scale.
• Establish reusable platform components for model lifecycle, deployment, and monitoring.
• Lead Agentic AI & Tool Ecosystems and architect multi-step agent systems.
• Design orchestration patterns for tool use, API invocation, and structured function calling.
• Lead implementation and governance of MCP servers to standardize tool integration.
• Define guardrails, permissions, and audit mechanisms for enterprise-safe AI systems.
• Elevate engineering standards with best practices for MLOps, CI/CD, observability, and reliability.
• Embed Responsible AI principles across platform architecture.
• Mentor senior engineers and influence technical direction across teams.

Skills

Python

Distributed systems

LLM & RAG

Tool orchestration

MLOps

Education

Master's degree in Computer Science or related field

Tools

Kubernetes

Containerization

Vector databases

Job description

Motion Recruitment Partners LLC seeks a Senior Machine Learning Engineer to define and lead the architecture of scalable AI/ML and agentic systems across our global product portfolio. You will shape long-term AI platform strategy, establish technical standards, and mentor engineers across teams.

You will architect multi-step, reasoning-driven agent systems, design high-availability inference platforms, and set governance for MCP servers and tool integrations, while embedding Responsible AI