Principal Enterprise Architect, AI Platform
Actively Reviewing the ApplicationsPriceline
India, Maharashtra, Mumbai
Full-Time
On-site
Posted 2 weeks ago
•
Apply by June 9, 2026
Job Description
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
WE ARE PRICELINE.
Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers.
Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.
We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.
Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable.
If you want to be part of something truly special, check us out!
Flexible work at Priceline
Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.
Inclusion is a Big Deal !
To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.
Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love for you to join us and help shape what makes our team extraordinary.
Applying for this position
We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.
External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.
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.
- 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.
WE ARE PRICELINE.
Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it’s a dream vacation, your cousin’s graduation, or your best friend’s wedding - we make travel affordable and accessible to our customers.
Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn’t stabilized.
We’re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.
Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable.
If you want to be part of something truly special, check us out!
Flexible work at Priceline
Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.
Inclusion is a Big Deal !
To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.
Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We’d love for you to join us and help shape what makes our team extraordinary.
Applying for this position
We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.
External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.
Required Skills
Engineering
Data Protection
Performance Management
Safety
Compliance
Monitoring
Python
Training
Policy Enforcement
MLOps
GraphQL
Data Governance
Framer
gRPC
Drift
Data Science
DevOps
CI/CD
Automated Testing
Continuous Improvement
Testing
RAG
Governance
Risk
Cost optimization
Software engineering
Orchestration
Injection
Analyses
API Design
Quality Measurement
Vector
Platform architecture
Implementations
Lifecycle Management
Business Outcomes
Incident response
Guardrails
Model Management
Measurement
Simplicity
Target
Fine-tuning
Privacy
Architectural Patterns
Vertex
Vector Search
Retrieval-Augmented Generation
Access patterns
SRE
GenAI
Retrieval
Enforcement
Safety controls
Observability
Engineering practices
Playbooks
Trade
Incident
GenAI capabilities
Enterprise Architect
Communicator
Strategic Thinker
AI/ML
LLM
Augmented Generation
Retrieval-augmented
Deal
Vertex AI
Embeddings
Emerging technologies
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