• Design and operate persona-specific digital workplace services (e.g., knowledge worker, production user, mobile user) • Architect and support Microsoft 365 collaboration and automation services (Teams, Sharepoint Online, Copilot, Power Automate) • Integrate Google services like Gemini and Google Agent Space and related collaboration environments • End-to-end responsibility for the services you manage, including service stability, availability, and support structures • Ensure 2nd/3rd level support processes are in place and work closely with service providers and internal support teams • Monitor service performance and user satisfaction, and continuously improve service quality • Define and track service costs and chargeback models in alignment with Corporate IT controlling • Provide financial transparency and input for budgeting and cost optimization initiatives • Collaborate with procurement and finance on pricing models for outsourced services • Oversee outsourced services • Manage supplier performance, contracts, SLAs, and commercial aspects in collaboration with vendor management • Work closely with security, infrastructure, compliance, and application teams to ensure integrated and compliant collaboration services • Support global IT programs

• Integrate, optimize, and operate large-scale inference systems to power AI scientific research • Build and maintain high-performance serving infrastructure that delivers low-latency, high-throughput access to large language models across thousands of GPUs • Work closely with researchers and engineers to integrate cutting-edge inference into large-scale reinforcement learning workloads • Build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab • Make contributions to open-source LLM inference software

• Design, develop, and implement production AI/ML solutions using Vertex AI and GCP. • Build data pipelines and machine learning models integrated with BigQuery. • Implement solutions using LLMs (Large Language Models), including Claude and other generative AI platforms. • Use AI-assisted coding platforms to increase productivity and code quality. • Establish and disseminate MLOps best practices, model governance, and responsible AI principles. • Collaborate with medical and business teams to translate clinical needs into technical solutions. • Ensure compliance with LGPD (Brazilian data protection law), healthcare regulations, and information security standards. • Perform code reviews and provide technical mentorship to junior and mid-level engineers. • Document architectures, processes, and technical decisions.

• Facilitate an interview through Karat's platform • Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach • Collaborate with Karat to test content, processes, and products