17 часов назад
Principal AI Platform Architect
185 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Platform Architect (AI/Data Architecture): Defining and implementing enterprise AI platform architectures, lakehouse infrastructure, data pipelines, and reusable services for secure, scalable agentic capabilities with an accent on distributed systems, cloud-native design, and AI workflow orchestration. Focus on building production-grade data and AI foundations, establishing governance and reliability standards, and enabling RAG, LLM serving, vector capabilities, and MLOps/LLMOps readiness.
Location: Foster City, United States
Salary: $185,000–$220,000 per year base salary, excluding incentive compensation and potential equity grants.
Company
is hiring an architect to build the enterprise data and AI foundation for secure, scalable AI adoption.
What you will do
- Define the architectural vision, reference architectures, principles, and guardrails for AI-first capabilities.
- Design agentic runtimes, tool integrations, model gateways, retrieval and grounding, policy enforcement, identity, and secure data access.
- Build and optimize batch and streaming data ingestion, transformation, orchestration, and lakehouse pipelines across enterprise systems.
- Establish data models, governance, lineage, data quality frameworks, and AI-ready access through feature, embedding, and vector capabilities.
- Design secure, compliant, scalable cloud infrastructure and build APIs and reusable platform services for AI and application teams.
- Drive reliability, performance, cost efficiency, scalability, SLOs, observability, and foundational MLOps/LLMOps readiness.
Requirements
- 15+ years of experience in data engineering, platform engineering, or data architecture.
- Deep expertise in distributed systems, cloud-native design, modern AI architectures, LLM serving, RAG, and agentic orchestration.
- Experience building production AI systems and enterprise-scale data platforms or lakehouse architectures.
- Hands-on experience with batch and streaming pipelines, distributed data processing, and AWS, GCP, or Azure.
- Strong programming skills in Python, SQL, or an equivalent language, plus knowledge of security, access control, and enterprise data management.
- Excellent executive communication and the ability to guide teams from concept through production.
Nice to have
- Experience with AI/ML or GenAI workloads, vector databases, embeddings, or feature engineering pipelines.
- Exposure to event-driven or real-time data architectures.
- Experience with complex enterprise application ecosystems such as CRM, ERP, HR, and integration platforms.
- Experience in product-based, high-scale, or global environments.
Culture & Benefits
- High-impact, high-visibility work influencing long-term AI and data platform strategy.
- Opportunity to build the enterprise data and AI foundation from scratch.
- Work on scalable, real-world AI enablement.
- Comprehensive and competitive benefits package.
- Equal opportunity employment.
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