2 days ago
Remote, PhilippinesSenior
Responsibilities
- Shape customer opportunities across Asia by connecting priorities, AI use cases, market context, and operating constraints to TokenOps engagements.
- Lead customer workshops, pilots, architecture decisions, and production roadmaps across countries, cultures, languages, and time zones.
- Design Azure AI Foundry architectures for agents, RAG, model access, orchestration, grounding, and enterprise integration.
- Define model routing and evaluation approaches based on 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 decisions into FinOps unit economics and executive-ready value and scale decisions.
- Guide data, API, identity, network, platform, legacy-integration, security, Responsible AI, privacy, sovereignty, and regulatory decisions.
- Coordinate implementation decisions among customers, Microsoft stakeholders, partners, and regional delivery resources.
- Create reusable Asia-focused architecture and delivery patterns and incorporate regional requirements into the broader TokenOps product and practice.
Requirements
- Bachelor's degree in a technical field or equivalent experience, plus 8+ years of customer-facing cloud or AI solution architecture experience.
- Experience leading delivery across multiple Asian markets and time zones, including 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 telemetry for 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.
- Preferred qualifications include Azure Solutions Architect certification or equivalent Azure architecture expertise, multilingual or multilingual-environment delivery experience, knowledge of Asian data and AI regulations, consulting and engagement-planning experience, and executive value-framing skills.
Benefits
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
- Microsoft provides equal employment opportunity and accommodations for religious needs and disabilities during the application process.
Tech Stack
Categories
Solutions Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.