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Senior AI & Cloud Architect (B2B)

180 - 250 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·KatowiceFull-time·B2B

#463590·Dodano 14 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Microsoft AzureArchitecturePython Terraform KubernetesAI Integration

Podsumowanie oferty

Drive AI adoption and cloud-native solution development within a large automotive organization. Design AI applications and integrations and scalable cloud architectures using Azure, OpenAI, and LLM capabilities, while developing backend services with Python.

Wymagania

Completed university degree in Computer Science, Software Engineering, or a comparable technical field.
Extensive professional experience in Cloud Architecture, Platform Engineering, or a comparable engineering role, with hands-on expertise in Microsoft Azure.
Practical experience integrating OpenAI, LLMs, or generative AI capabilities into applications, workflows, or enterprise solutions.
Strong software engineering skills in Python, including developing APIs, integrations, and automation solutions.
Hands-on experience with Terraform, Kubernetes/AKS, and CI/CD pipelines in cloud environments.
Strong understanding of cloud-native architectures, data processing, APIs, distributed systems, and enterprise platform design.
Ability to work independently, make architectural decisions, and collaborate with engineering teams and stakeholders.
Fluent communication skills in English and Polish.

Nice to have:

Experience with Azure OpenAI Service and related Azure AI services.
Familiarity with AI agents, agentic workflows, and AI orchestration frameworks.
Experience implementing AI solutions in large enterprise or automotive environments.
Knowledge of AI security, governance, observability, and production deployment practices.

Obowiązki

Identify and evaluate AI use cases across products and engineering teams, translating business needs into technical solutions.
Design and implement AI-driven applications and integrations using Azure, OpenAI, and LLM capabilities.
Design and evolve scalable Azure cloud architectures for secure, reliable, production-ready AI solutions.
Develop backend services, APIs, and automation solutions using Python and cloud-native technologies.
Build and maintain cloud infrastructure and deployment workflows using Terraform, Kubernetes/AKS, and CI/CD pipelines.
Contribute to data ingestion, processing, and distributed system integrations between AI solutions and enterprise platforms.
Collaborate with engineering teams, architects, and business stakeholders to guide technical decisions and support AI adoption.

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