AI Cloud Solution Engineer

AI Cloud Solution Engineer
Braşov
Brașov, Brașov, Romania

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
- 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,
- 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
- 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 Ia
C tools such as Terraform, Bicep, and Ansible;

• Ensure secure and scalable integration of
- party AI providers and services;

• Build and manage CI/CD pipelines using Git
Hub Actions or Azure Dev
Ops;

• Oversee identity and access management via Microsoft Entra ID (Azure AD);

• Collaborate with
- 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. , Open
AI, Gemini, LLa
MA, Mistral, Ollama);

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

•  Experience with CI/CD tools, Git
Hub, and Dev
Ops practices;

•  Strong understanding of cloud cost optimization and Fin
Ops principles;

• Fluent in English; German is an advantage;

• Willingness to travel occasionally to Germany.