Asia AI Token Ops Solution Architect

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. We are seeking an Asia AI TokenOps Solution Architect to shape opportunities and lead customer architecture, delivery, and regional scale. You will translate customer needs into Azure AI and TokenOps architectures, lead workshops and pilots across markets and time zones, guide implementation decisions, and build reusable patterns that reflect Asia's data, sovereignty, and AI regulatory requirements. This role is for an architect who can navigate regional diversity while keeping delivery technically coherent and economically accountable. You will work across Azure AI Foundry, agent and RAG patterns, routing and evaluations, TokenOps observability, FinOps unit economics, data and API integration, security, and Responsible AI, communicating effectively with executive and engineering stakeholders. Responsibilities * 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.    Success in this role looks like  * Asia opportunities have a clear customer outcome, architecture, work package, regulatory approach, and path from pilot to production.  * Workshops and pilots produce decisions that account for language, locality, market constraints, unit economics, and operational readiness.  * Customer architectures integrate agents, RAG, routing, evaluations, observability, data, APIs, security, and Responsible AI coherently.  * Distributed stakeholders can make and execute architecture decisions effectively across markets, organizations, and time zones.  * Regional delivery patterns are reusable while remaining adaptable to country-specific data, sovereignty, and AI requirements.

Required Qualifications  * 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