6 дней 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, and AI/ML): Designing and delivering complex, production-ready multi-domain systems across cloud infrastructure, data platforms, and AI/ML workloads with an accent on scalable architecture, MLOps, security, and reliability. Focus on leading high-stakes architectural decisions, modernizing enterprise platforms, and integrating LLM-based applications into client workflows.
Location: US - Remote
Salary: $165,604–$228,491 USD annually
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 architecture across cloud, data, and AI/ML systems for end-to-end engagements.
- Design scalable cloud-native, multi-cloud, hybrid, data, and AI/ML solutions, including model serving, MLOps pipelines, feature stores, and LLM applications.
- Set infrastructure-as-code, CI/CD, DevOps, security, governance, compliance, and observability standards.
- Drive performance, scalability, cost, reliability, cloud migration, and platform modernization initiatives.
- Act as the principal technical voice with leadership, clients, engineering, data, AI, and product teams.
- Mentor experienced engineers and architects while owning complex architectural and integration decisions.
Requirements
- 8+ years of software engineering experience, including at least 5 years in technical leadership.
- Deep expertise in AWS, Azure, or GCP and cloud-native architecture, including microservices, serverless, containers, and event-driven systems.
- Strong experience with data architecture, relational and NoSQL systems, big data, data modeling, ETL/ELT, and orchestration.
- Production experience designing AI/ML systems, including LLMs, MLOps, model serving, and tools such as SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, or TensorFlow.
- Proficiency in infrastructure as code, CI/CD, networking, cloud security, identity and access management, governance, compliance, observability, Python, APIs, and containerization.
- Strong technical leadership, mentoring, stakeholder communication, and demonstrable use of AI-forward tools such as Claude and Cursor.
Nice to have
- Multi-cloud architecture experience, responsible AI or AI ethics experience, or enterprise architecture certifications.
- Experience integrating AI/ML solutions with SAP EAM data structures through SAP BTP or cloud-native APIs.
Culture & Benefits
- Work on production-ready AI systems designed for real business workflows.
- Collaborate with highly experienced teams averaging more than fifteen years of experience.
- Paid time off and medical, dental, and vision insurance.
- 401(k) benefits for eligible employees.
- Work emphasizes ownership, direct feedback, craftsmanship, learning, and client impact.
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