포지션 상세
The Frontier Transformation Framework helps customers become Frontier Firms: organizations where AI and agents operate as part of the business. TokenOps connects the architecture of those systems to cost, quality, performance, and value. Within the Frontier Transformation team, this role brings that capability to customers across Asia's varied markets, languages, regulatory settings, and technology estates.
• Lead customer workshops and architecture decisions across countries, cultures, languages, and time zones.
• Design Azure AI Foundry architectures for agents, RAG, model access, orchestration, grounding, and enterprise integration.
• Lead pilots and prototypes that validate feasibility, quality, performance, cost, security, and adoption in the target market.
• Define model routing and evaluation approaches that account for language, locality, quality, latency, availability, and cost.
• Design TokenOps observability across applications, agents, models, gateways, tokens, costs, controls, and customer outcomes.
• Translate telemetry and architecture choices into FinOps unit economics and executive-ready value and scale decisions.
• Guide data, API, identity, network, platform, and legacy-integration decisions across diverse customer estates.
• Embed enterprise security and Responsible AI requirements while addressing market-specific data, sovereignty, privacy, and AI regulation.
• Coordinate implementation decisions across customer teams, Microsoft stakeholders, partners, and regional delivery resources.
• Create reusable Asia shaping and delivery patterns and bring regional requirements into the broader TokenOps product and practice.
• Delivery leadership across multiple Asian markets and time zones, including customer workshops, pilots, architecture decisions, and production roadmaps.
• Hands-on knowledge of Azure AI Foundry and production architecture for AI, agent, and RAG solutions.
• Experience designing model routing and evaluation strategies across differing language, quality, latency, availability, and cost requirements.
• Understanding of TokenOps observability and the telemetry needed to manage agent, model, token, cost, reliability, and outcome behavior.
• Ability to model and explain FinOps unit economics and connect technical tradeoffs to customer value and scale decisions.
• Strong data, API, identity, network, security, and enterprise-integration architecture skills.
• Experience applying Responsible AI and enterprise governance requirements throughout architecture and delivery.
• Ability to communicate with executive and engineering stakeholders and lead ambiguous decisions across cultures, organizations, and time zones.
주요업무
• Shape Asia opportunities by connecting customer priorities, market context, AI use cases, and operating constraints to a clear TokenOps engagement.• Lead customer workshops and architecture decisions across countries, cultures, languages, and time zones.
• Design Azure AI Foundry architectures for agents, RAG, model access, orchestration, grounding, and enterprise integration.
• Lead pilots and prototypes that validate feasibility, quality, performance, cost, security, and adoption in the target market.
• Define model routing and evaluation approaches that account for language, locality, quality, latency, availability, and cost.
• Design TokenOps observability across applications, agents, models, gateways, tokens, costs, controls, and customer outcomes.
• Translate telemetry and architecture choices into FinOps unit economics and executive-ready value and scale decisions.
• Guide data, API, identity, network, platform, and legacy-integration decisions across diverse customer estates.
• Embed enterprise security and Responsible AI requirements while addressing market-specific data, sovereignty, privacy, and AI regulation.
• Coordinate implementation decisions across customer teams, Microsoft stakeholders, partners, and regional delivery resources.
• Create reusable Asia shaping and delivery patterns and bring regional requirements into the broader TokenOps product and practice.
자격요건
• Bachelor's degree in a technical field, or equivalent experience, and 8+ years in customer-facing cloud or AI solution architecture.• Delivery leadership across multiple Asian markets and time zones, including customer workshops, pilots, architecture decisions, and production roadmaps.
• Hands-on knowledge of Azure AI Foundry and production architecture for AI, agent, and RAG solutions.
• Experience designing model routing and evaluation strategies across differing language, quality, latency, availability, and cost requirements.
• Understanding of TokenOps observability and the telemetry needed to manage agent, model, token, cost, reliability, and outcome behavior.
• Ability to model and explain FinOps unit economics and connect technical tradeoffs to customer value and scale decisions.
• Strong data, API, identity, network, security, and enterprise-integration architecture skills.
• Experience applying Responsible AI and enterprise governance requirements throughout architecture and delivery.
• Ability to communicate with executive and engineering stakeholders and lead ambiguous decisions across cultures, organizations, and time zones.
