1 month ago
Remote, PhilippinesSenior
Responsibilities
- Shape customer opportunities into TokenOps engagements with clear outcomes, architecture, work packages, regulatory approaches, and production paths.
- Lead workshops and architecture decisions across Asian countries, cultures, languages, organizations, 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, adoption, and operational readiness.
- Define model routing and evaluation strategies 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, and governance decisions.
- Coordinate implementation decisions across customers, Microsoft stakeholders, partners, and regional delivery teams.
- Create reusable Asia-specific shaping and delivery patterns and incorporate regional requirements into the 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 architectures 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.
- Azure Solutions Architect certification or equivalent Azure architecture expertise is preferred.
- Multilingual capability, multilingual customer delivery experience, knowledge of Asian data/privacy/sovereignty/residency and AI regulation, and experience adapting global patterns to local environments are preferred.
- Preferred experience includes executive value framing, consulting engagement planning, reusable architecture pattern development, and collaboration with engineering, science, data, partner, and business-value teams.
Benefits
- Applications are accepted on an ongoing basis, and the position will remain open for a minimum of 5 days until filled.
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.