1 час назад
Principal AI Architect
165 604 - 228 491$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Architect (Cloud/Data/AI): Defining and delivering complex, multi-domain architectures across cloud infrastructure, data platforms, and production AI/ML systems with an accent on scalability, reliability, security, and enterprise integration. Focus on designing multi-cloud platforms, data pipelines, MLOps and LLM applications, while leading high-stakes technical decisions, modernization initiatives, and experienced engineering teams.
Location: US - Remote
Salary: $165,604–$228,491 USD per year
Company
Robots & Pencils designs and delivers production-ready AI systems and digital solutions for enterprise clients.
What you will do
- Define technical strategy and lead end-to-end architecture across cloud, data, and AI/ML systems.
- Design scalable cloud-native, multi-cloud, hybrid, data, and AI platforms, including warehouses, lakes, pipelines, model serving, MLOps, feature stores, and LLM applications.
- Establish infrastructure-as-code, CI/CD, DevOps, security, governance, compliance, and observability standards.
- Drive performance, scalability, cost, and reliability improvements, as well as cloud migrations and platform modernization.
- Act as the principal technical voice for leadership and clients, translating complex concepts for technical and non-technical stakeholders.
- Mentor experienced engineers and architects, own difficult integration challenges, and evaluate emerging technologies.
Requirements
- 8+ years of software engineering experience, including at least 5 years in technical leadership.
- Deep expertise in cloud platforms and cloud-native architectures, with experience in multi-cloud environments.
- Strong background in microservices, serverless systems, containers, event-driven architecture, networking, security, identity, and access management.
- Experience with infrastructure as code, CI/CD, data modeling, ETL/ELT pipelines, orchestration, and relational, NoSQL, and big data systems.
- Production experience designing AI/ML systems, including LLMs, MLOps, model serving, and relevant frameworks and platforms.
- Strong Python, API, stakeholder communication, technical leadership, mentoring, governance, compliance, and observability skills.
Nice to have
- Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications such as TOGAF or AWS, Azure, or GCP certifications.
Culture & Benefits
- Production-ready AI systems are shipped within 30–45 days.
- Work emphasizes ownership, direct feedback, continuous learning, craftsmanship, and practical problem-solving.
- Teams average more than fifteen years of experience and collaborate closely with clients and cross-functional specialists.
- Benefits include paid time off, medical, dental, and vision insurance, and a 401(k) for eligible employees.
- Employment may be conditional on completion of a background check in accordance with local legislation.
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