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Lead the Applied AI organization, architect AI-focused operating models, manage a team of AI engineers, and redesign business processes for improved efficiency and cost savings.

Lead large cross-functional vision system programs integrating hardware, ML, platform, and product teams. Scope and deliver projects, align internal/external partners, translate customer needs into requirements, troubleshoot field systems, evaluate tradeoffs, mitigate risks, and communicate strategy to technical and non-technical stakeholders to scale vision solutions.

Lead FP&A processes including forecasting, variance analysis, and board reporting. Build dynamic financial models for capital allocation and long-range planning, advise business units on OpEx/headcount, ensure data integrity, automate reporting, and document SOPs to improve finance workflows and decision-making.

Lead FP&A forecasting cycles, variance analysis, and dynamic financial modeling to support capital allocation, long-range planning, and product/market launches. Advise business units on OpEx and headcount, produce board-ready reports and dashboards, ensure data integrity, automate processes, and document SOPs to shorten reporting cycles.

Design and build core services for Metropolis Web Services, focusing on distributed systems. Collaborate with multiple technical teams and mentor engineers. Architect scalable systems and establish operational standards for high reliability and performance.

Lead and mentor a team of cloud infrastructure engineers, manage modernization efforts, oversee cloud security compliance, and architect solutions for a unified cloud ecosystem.

As a Senior AI Engineer, you'll design and implement AI-powered automation tools, maintain LLM-based systems, ensure data quality, and enhance business processes through AI solutions.

The Senior AI Engineer will design and build AI-powered automation tools, maintain LLM systems, and collaborate with business analysts to enhance processes across various operations.

As a Senior AI Engineer, you will design and build AI-driven tools and pipelines to automate business processes, ensuring production reliability and integrating AI technologies into operations.

The Senior Software Engineer will architect and build Metropolis Web Services, focusing on distributed systems and platform infrastructure, optimizing performance, and enabling seamless communication and reliability for various services.