Principal Enterprise Architect, AI Platform

This role is eligible for our hybrid work model: 2 days in-office

Principal Enterprise Architect, AI Platform

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place. 

Why this job’s a big deal: 

As the Principal Enterprise Architect for AI Platform, you’ll define the architectural vision and technical strategy that enables safe, scalable, and cost-effective adoption of ML and AI—including LLM-powered experiences—across Priceline’s products and internal platforms.

In this role, you will get to:

• Define and evolve the target-state AI Platform architecture aligned to Priceline’s long-term business and technology objectives, with a pragmatic, phased roadmap and measurable interim milestones.

• Design platform capabilities for LLM-enabled systems: model access patterns, prompt orchestration, retrieval-augmented generation (RAG), fine-tuning workflows, agentic tooling, and scalable model serving—grounded in explicit trade-offs.

• Maintain robust LLM guardrails and governance: policy enforcement, safety controls, prompt-injection defenses, data protection/PII handling, evaluation standards, auditability, and human-in-the-loop patterns where needed.

• Build and standardize modern MLOps approaches across the lifecycle: reproducible pipelines, model registries, CI/CD for models and prompts, automated testing/evals, monitoring/observability, drift and performance management, and incident response playbooks.

• Enable no/low-code AI platform experiences that expand adoption safely—self-service workflows, templates, curated components, and reference implementations that reduce time-to-value for business teams.

• Partner with Product, Data, Security, Privacy, Risk, and Engineering leaders to align AI architecture to business outcomes while meeting reliability, compliance, and responsible AI expectations.

• Evaluate emerging technologies, architectural patterns, and vendors—leading build/buy/partner analyses, proofs of concept, and TCO/ROI assessments.

• Coach senior and staff engineers, uplevel engineering practices, and cultivate a culture of clarity, simplicity, and continuous improvement.

Who you are:

• Strategic thinker and clear communicator who can influence executives, peers, and engineers.

• 10+ years experience in software engineering and AI/ML with experience delivering systems in production (including evaluation, reliability, and governance).

• Strong understanding of LLM techniques and trade-offs: prompt design, RAG, embeddings/vector search, fine-tuning approaches, model selection, latency/cost optimization, and quality measurement.

• Demonstrated experience implementing LLM guardrails: safety controls, policy enforcement, data governance, red-teaming/evals, and protections against common LLM risks (e.g., prompt injection, data leakage, hallucinations in critical workflows).

• Hands-on software engineering background (strong preference for Python; bonus for NodeJS ecosystem) with fluency in one or more of the following: API design (gRPC/REST/GraphQL), DevOps/CI/CD, testing/QA, and observability/SRE practices.

• Experience with traditional MLOps practices and tooling across training, deployment, monitoring, and lifecycle management; comfortable partnering with data science teams and driving reproducible, measurable outcomes.

• Experience with no/low-code AI platforms and patterns that enable broad adoption without sacrificing security, compliance, and operational rigor.

• Cloud-native experience—strong preference for GCP, especially Vertex AI services (e.g., model management/serving, pipelines, monitoring/evaluation, and related GenAI capabilities).

• Bias for clarity and simplicity—reducing complexity and enabling teams to move faster and smarter.

• Analytical problem-framer who reduces ambiguity into clear, actionable components.

• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability, and Trust.

• The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics are essential.

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