AI Platform Architect

~47 - 63 EUR/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#470419·Dodano 6 dni temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning KubernetesInfrastructure as Code (IaC)MLOpsLarge Language Models (LLM)Model deploymentCloud architecture

Podsumowanie oferty

You’ll design and implement scalable AI infrastructure and platforms for enterprise clients. You’ll define architectures and deployment approaches for AI solutions and integrate services, models and frameworks into existing environments.

Wymagania

Strong background in cloud architecture, platform engineering or AI infrastructure.
Experience with AWS, Azure and/or GCP.
Understanding of AI/ML platforms, model deployment and inference infrastructure.
Experience with Kubernetes, containers and Infrastructure as Code.
Familiarity with LLMs, generative AI and modern AI development frameworks.
Understanding of APIs, distributed systems and enterprise integration patterns.
Knowledge of security, observability and operational requirements for production platforms.
Strong communication skills and working proficiency in English.

Nice to have:

Experience with MLOps, LLMOps, agentic AI orchestration, vector databases, RAG architectures or AI governance.

Obowiązki

Design scalable architectures for enterprise AI platforms and applications.
Support the integration of AI services, models and frameworks into existing environments.
Define technical approaches for AI deployment, orchestration and lifecycle management.
Collaborate with cloud, data and software engineering teams.
Evaluate AI platform technologies, infrastructure requirements and security considerations.
Develop architectural guidelines for reliable, maintainable and scalable AI solutions.

Inne informacje

Recruitment process: introductory conversation.
Recruitment process: technical interview.
Recruitment process: final conversation.

Allies

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