Principal GenAI & Agentic AI Engineer
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Job Summary
Powering the agentic revolution in travel. Sabre is an AI-native technology leader backed by one of the worlds largest travel data clouds. Built on an open modular cloud-native architecture Sabre serves as the backbone for both established leaders and bold new disruptors guiding them to the next age of travel retailing through intelligent connected and personalized experiences. With AI at its core and operating at unparalleled scale Sabre transforms insights into innovation empowering airlines hoteliers agencies and other partners to retail distribute and fulfill travel worldwide.
The Principal GenAI & Agentic AI 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 also requires leading and developing data pipelines for necessary data layer for AI/ML. This role sets architecture standards leads multi-team delivery and governs safety reliability and cost at enterprise scaleaccelerating product teams to achieve monetization of AI based products 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.
Leverage capabilities of Gemini Enterprise Agent Platform in the Agentic AI Product development.
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.
Define the data pipeline development for lakehouse delta lake or feature engineering.
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).
Data Pipeline both near real time and batch.
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 posture.
Codify privacy PII handling data residency and per-tenant isolation using VPC-SC Secret Manager IAM and Apigee policies.
Leadership & Enablement
Mentor senior engineers and team leads; run architecture reviews design clinics and red-team exercises.
Drive continuous evaluation programs and publish org scorecards for quality safety and cost.
Partner with Product Security and SRE to align roadmaps SLOs and operational playbooks.
Required Technical Competencies
Dataflow and Apache Beam for data pipeline development.
Strong on using SQL for data analysis.
LLM & GenAI: Model selection (Gemini & Model Garden) prompt engineering RAG/grounding multimodal pipelines fine-tuning/adapter methods.
Agentic AI (ADK): Agent loops planners tool/function design memory (episodic/semantic/long-term) HIL policy enforcement.
Data & Retrieval: BigQuery (including vector functions) Vertex Vector Search Document AI Dataplex for lineage and governance.
Orchestration & Services: Cloud Run Workflows Pub/Sub Dataflow/Composer; HA/DR backpressure circuit breakers.
LLMOps/MLOps: Vertex AI Pipelines registry CI/CD trace correlation cost/performance monitoring.
Security & Compliance: IAM Secret Manager VPC-SC private service connect DLP Okta/IAP Apigee API policies.
Observability & Cost: Central telemetry user feedback loops drift/outlier detection quota/capacity planning.
Qualifications
1215 years in software/data/ML engineering; 1 years hands-on with LLMs/GenAI and agentic systems.
Proven delivery of enterprise-scale GenAI/agent platforms on GCP (Vertex AI BigQuery Cloud Run Pub/Sub Workflows).
Demonstrated impact in platformization governance and multi-team technical leadership.
Strong proficiency in Java.
Strong proficiency in Python/TypeScript (or equivalent) and infrastructure-as-code (Terraform/GCP Deployment Manager).
Experience in security-by-design privacy and compliance audits.
Proven delivery in building data pipeline using distributed computing frameworks such as Dataflow Spark.
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.
#LI-Hybrid#LI-GS1Required Experience:
Staff IC
About Company
Sabre Corporation is a travel technology company based in Southlake, Texas. It is the largest Global Distribution Systems provider for air bookings in North America. American Airlines founded the company in 1960, and it was spun off in 2000.
