16 Oct
|
Greenway Health
|
Bengaluru
16 Oct
Greenway Health
Bengaluru
The AI Architect designs, governs, and delivers production-grade AI capabilities, including LLM integration, retrieval-augmented generation (RAG), and agentic workflows, as part of secure, scalable, and maintainable healthcare products. The role is weighted toward AI/GenAI architecture and core system architecture: distributed systems, microservices, APIs, data, cloud infrastructure, security, and operations. The AI Architect translates product goals, customer commitments, and engineering constraints into architecture that works end to end, from user experience and service boundaries through data pipelines, model and retrieval layers, integrations, deployment, and runtime monitoring.
This is not a prompt-engineering or agent-building role in isolation. Prompts, models, and agents are components of a larger system, and this role is accountable for everything around them: service decomposition, contracts, data flow, state management, latency and cost budgets, failure handling, security and PHI protection, observability, evaluation, and long-term maintainability.
The ideal candidate is a hands-on architect who has shipped GenAI to production and can defend the full system design, not only the model layer.
Key Outcomes
· Production GenAI and agentic AI capabilities delivered as reliable, secure, observable product features rather than isolated prototypes or demos.
· A reusable enterprise AI platform (model gateway, retrieval/RAG services, agent orchestration, evaluation, and guardrails) that product teams adopt consistently.
· End-to-end architectures in which AI components are properly integrated with microservices, APIs, event flows, data stores, identity, and cloud infrastructure, with transparent service boundaries and contracts.
· AI systems that meet defined targets for quality, latency, availability, cost, and safety, with governance, PHI protection, and Responsible AI practices built in from the start.
· Stronger alignment among product, engineering, QA, DevOps
📌 AI Architect (Bengaluru)
🏢 Greenway Health
📍 Bengaluru