AI Engineer

• Enhance our recommendations across both agentic & traditional search placements
• Design and implement agentic AI systems and define best practices for the team
• Design agentic systems with capabilities including long-term memory, tool integration, multi-agent collaboration
• Lead end-to-end agent development lifecycles, including prompt engineering, RAG, evaluation, deployment, and monitoring
• Utilize MCP for enterprise data/tool connectivity
• Manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises
• Build relationships with other AI leads across the company to share knowledge & find collaboration opportunities
• Stay abreast of developments in machine learning & AI via publications and conferences

Senior Machine Learning Scientist – Search, Recommendations, AI Engineering

Lead AI Engineer

Senior AI Engineer

Lead Full-Stack GenAI Platform Software Engineer

Senior Manager – Data and AI Platform Activation