Lead Machine Learning Engineer

Raleigh, North CarolinaHybridContract$90/hr - $95/hrOur 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 usersWhat You’llDo 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 LookingFor Experience/Education requirement10+ 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
You will receive the following benefits:Medical Insurance - Four medical plans to choose from for you and your familyDental & Orthodontia BenefitsVision BenefitsHealth Savings Account (HSA)Health and Dependent Care Flexible Spending AccountsVoluntary Life Insurance, Long-Term & Short-Term Disability InsuranceHospital Indemnity Insurance401(k) including match with pre and post-tax optionsPaid Sick Time LeaveLegal and Identity Protection PlansPre-tax Commuter Benefit529 College Saver PlanMotion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.