AI Cloud Solution Engineer

Sales ConsultingBrașov, Brașov, RO

30+ days ago

Job type

Quick Apply

Job description

As a leading provider of Human Resources consulting services in Transylvania, we deliver regional coverage and specialized expertise across four core areas : recruitment and selection, personnel leasing, assessment centers and HR consultancy. With a strong and consistent presence on the Romanian market, we continue to consolidate our position through a strategic commitment to continuous improvement and alignment with evolving business needs.

Our success is founded on the professionalism of our services, the multidisciplinary capabilities of our consulting team, and the long-standing partnerships we maintain with clients who rely on our support in navigating complex HR challenges.

We collaborate with organizations across a broad range of industries, including IT&C, automotive, outsourcing, pharmaceutical, banking, FMCG and others, building sustainable, long-term relationships that contribute to their organizational growth.

Guided by the principles of client orientation, teamwork, flexibility, excellence, dedication, and responsibility, we remain focused on delivering measurable value and consistently high-quality services to our partners.

The AI Cloud Solution Engineer will join a dynamic technology team and be integrated into the company’s digital transformation initiatives.

Role description :

Design and implement AI solutions using machine learning, deep learning, and related technologies;
Manage and automate cloud infrastructure in Azure and GCP, including hybrid environments;
Develop and maintain infrastructure using IaC tools such as Terraform, Bicep, and Ansible;
Ensure secure and scalable integration of third-party AI providers and services;
Build and manage CI / CD pipelines using GitHub Actions or Azure DevOps;
Oversee identity and access management via Microsoft Entra ID (Azure AD);
Collaborate with cross-functional teams to align cloud infrastructure with AI application needs;
Support cost optimization efforts for LLM inference and cloud resource usage.

Qualifications :

3+ years of experience in a similar cloud or AI engineering role;

Strong expertise in Microsoft Azure, Google Cloud Platform, and hybrid architectures;

Proficiency in Python; additional experience in Go or Bash is a plus;

Solid understanding of Infrastructure as Code (Terraform, Bicep, Ansible);

Experience with containerization and orchestration using Docker and Kubernetes;

Familiarity with AI frameworks and tools (e.g., OpenAI, Gemini, LLaMA, Mistral, Ollama);

Knowledge of cloud security, IAM, network segmentation, and private cloud connectivity;

Experience with CI / CD tools, GitHub, and DevOps practices;

Strong understanding of cloud cost optimization and FinOps principles;

Fluent in English; German is an advantage;

Willingness to travel occasionally to Germany.

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