4 дня назад
Principal AI Platform Architect
175 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Platform Architect (AI/GCP): Designing and building an enterprise AI platform and cloud-native application ecosystem with an accent on LLMs, agentic workflows, governance, security, and scalable distributed systems. Focus on defining reusable platform patterns, building production evaluation loops, enabling engineering teams, and balancing architectural strategy with hands-on implementation.
Location: Auburndale, Massachusetts, USA; in-person work required three days a week or more, with flexibility to work from home or remotely at other times.
Salary: $175,000–$200,000 annually, based on experience.
Company
A global B2B technology and digital services organization providing technology-market information, audience data, advertising, custom content, intelligence, and demand-generation solutions.
What you will do
- Define and build a scalable enterprise AI platform supporting LLMs, agentic workflows, and federated development across multiple engineering teams.
- Architect cloud-native solutions on Google Cloud Platform for enterprise-scale workloads.
- Establish platform patterns for microservices, event-driven architectures, API-first design, and integration with legacy systems.
- Build CI/CD pipelines that deploy automatically to the cloud and enable teams to add new components, agents, and capabilities.
- Set architectural standards for AI governance, security, evaluation, observability, and operational excellence.
- Guide architecture reviews and technical direction while remaining hands-on with implementation.
Requirements
- 10+ years of experience designing and delivering enterprise software platforms at scale.
- Deep expertise in Google Cloud Platform services and AI capabilities; Vertex AI experience is preferred.
- Production experience with AI platforms, agentic frameworks, LLMs, orchestration, and evaluation strategies.
- Expertise in event-driven architecture, distributed systems, microservices, and APIs.
- Knowledge of platform security, governance, and responsible AI practices.
- Proficiency in Python, Kubernetes, Docker, and cloud-native tools, with exceptional communication and technical leadership skills.
Culture & Benefits
- In-person and online social events, colleague groups, and collaborative working practices.
- Up to four paid volunteer days per year and opportunities to collaborate with international teams.
- Open vacation, 10 national holidays, and the option to work from almost anywhere for up to four weeks per year.
- Health, vision, dental, parental leave, 401(k) matching, and an employee share purchase plan.
- Training, mentoring, LinkedIn Learning access, wellbeing support, employee assistance, and recognition programs.
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