Product Director, AI & Agentic
Lead the strategy and execution of agentic AI experiences for customers, clients, and colleagues. Manage a team of product managers to build, ship, and continuously improve AI agents using data-driven experimentation.
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Lead the strategy and execution of agentic AI experiences for customers, clients, and colleagues. Manage a team of product managers to build, ship, and continuously improve AI agents using data-driven experimentation.
Lead the design and implementation of a production-grade agentic layer to enable AI agents to offer and fulfill refund solutions. This includes building RAG pipelines, MCP servers, and ensuring compliant AI outputs through guardrails and evaluation frameworks.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
The role involves building and shipping end-to-end AI features, turning raw model outputs into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and developing evaluation frameworks.
The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
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The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
The role involves building and shipping end-to-end AI features by turning model capabilities into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and debugging the full stack from model to UX.
The role involves building and shipping end-to-end AI features, turning raw model outputs into reliable product behaviors. You will design prompts, tools, and agent workflows while optimizing for latency, cost, and production reliability.
The role involves building and shipping end-to-end AI features, transforming raw model outputs into reliable product behaviors. You will design agent workflows, optimize for latency and cost, and develop evaluation frameworks to measure real-world performance.
Own the inference and orchestration layer to build production systems that power AI interactions. Focus on designing stable APIs, optimizing latency, and managing production concerns like monitoring and incident response.
Design and operate the inference and orchestration layer to power AI interactions across mobile and desktop clients. Focus on optimizing latency, throughput, and reliability for production AI-powered features.
Own the inference and orchestration layer to build production systems that turn AI model capabilities into stable APIs. Focus on optimizing latency, throughput, and reliability for AI-powered features across mobile and desktop clients.
Own the inference and orchestration layer to build production systems that turn AI model capabilities into stable APIs. Focus on optimizing latency, throughput, and reliability for AI-powered features across mobile and desktop clients.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Design and operate the inference and orchestration layer that powers AI interactions, focusing on latency, reliability, and cost. Build production systems to turn model capabilities into stable APIs for mobile and desktop clients.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive, goal-driven user experiences.
Build the product layer for AI-native workflows, focusing on agent design, failure recovery, and real-time interactions. Collaborate with ML and backend teams to ship end-to-end features that move beyond simple chat into goal-driven workflows.
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Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive AI interactions for everyday users.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Design and implement a scalable agentic framework and centralized AI platform to support organization-wide AI initiatives. Collaborate with cross-functional teams to integrate AI agents into internal tools and customer-facing applications while ensuring security and scalability.
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Design and implement AI-driven document processing and search solutions using Azure AI Search and RAG architectures. Manage containerized deployments via AKS and optimize vector search and query orchestration for intelligent knowledge retrieval.
Lead the transition of the card operations AI agent from internal pilot to a production-grade system. Expand agent capabilities into accounting automation and policy enablement while ensuring reliability, safety, and cost-efficiency.
Build and deploy end-to-end AI operating layers and automated workflows to solve high-value business problems. Own the complete production outcome from discovery and design to evaluation and scaling across multiple niches.
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Develop AI-based applications and implement solutions using LLMs and agentic workflows. Focus on migrating traditional applications to AI-driven architectures and automating business processes.
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