Senior Machine Learning Engineer, Architecture

As the Senior ML Architect specializing in agentic systems, you will strategically architect and lead the development of advanced ML agent-driven systems, ensuring seamless integration between our Machine Learning and AI/Data Platform teams. Your expertise will be pivotal in shaping our agentic system strategy, driving scalable architecture design, and fostering cross-team collaboration to deliver robust, efficient, and innovative ML solutions. Develop and articulate the strategic vision for agentic systems, aligning with broader business and technology objectives. Architect and oversee the design of scalable, robust, and efficient agent-driven ML systems. Serve as the primary liaison between the ML engineering team and AI/Data platform team, ensuring technical coherence, seamless integration, and alignment of goals. Define and implement automated workflows and MLOps pipelines, focusing on agentic system lifecycle management. Establish comprehensive monitoring frameworks to proactively track agent performance, system health, and data quality. Provide mentorship and technical leadership, promoting best practices in ML architecture and agentic system development. Ensure ML systems and agentic solutions comply with established security standards and data governance policies.