Principal AI/ML Engineer (Bengaluru)

Principal AI/ML Engineer (Bengaluru)

13 Aug
|
Sabre
|
Bengaluru

13 Aug

Sabre

Bengaluru

The Principal AI/ML Engineer is the technical leader responsible for designing, building, and scaling AI systems that combine LLM-powered GenAI and ADK-based agentic workflows on Google Cloud Platform. This role sets architecture standards, leads multi-team delivery, and governs safety, reliability, builds and manages the platform, and cost at enterprise scale—accelerating product teams to achieve 10× productivity through reusable patterns, platforms, and guardrails.

Key Responsibilities
Strategy & Architecture
- Define reference architectures for GenAI apps, RAG systems, and agent ecosystems (single/multi-agent) on GCP using ADK.
- Establish domain and platform standards: model selection, RAG/generation patterns, memory architectures, security baselines, observability, and LLMOps.
- Lead portfolio-wide technical decisions (build/buy, vendor selection, SLAs, quotas) with a focus on reliability, safety, and cost control.

Solution Design & Delivery
- Architect and lead implementation of production-grade GenAI solutions (Vertex AI models, Grounding, Pipelines, Evaluation)



and agentic services (planning, tools, memory, HIL).
- Design multi-tenant and hub-and-spoke patterns with Okta/IAP/Apigee for secure API exposure and tenant isolation.
- Drive end-to-end delivery across teams: data ingestion (Dataflow/Composer), indexing (BigQuery vectors/Vertex Vector Search), services (Cloud Run/Workflows), events (Pub/Sub).

Platformization & Reuse
- Build and maintain prompt libraries, tool catalogs, agent templates, and evaluation harnesses for organization-wide reuse.
- Standardize LLMOps: CI/CD for prompts/models/agents, model registry, traceability, rollback, canaries, cost/performance scorecards.
- Enable a marketplace of agents/services with productized APIs, documentation, chargeback, and KPIs.

Responsible AI, Security & Compliance
- Implement multi-layer guardrails: policy prompts, filters, memory governance, tool whitelisting, audit logs; ensure regulator-ready postur

📌 Principal AI/ML Engineer (Bengaluru)
🏢 Sabre
📍 Bengaluru

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