What are the responsibilities and job description for the Lead Machine Learning Engineer position at Motion Recruitment Partners, LLC?
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:
You will shape the long-term AI platform strategy and establish technical standards that impact millions of users
What You'll
What We're Looking
For Experience/Education requirement
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 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
Salary : $90 - $95