Cloud & AI Engineer - Sao Paulo - 12 months

Global Enterprise Partners

Amsterdam, Netherlands

24 days ago

Apply on www.globalenterprisepartners.com

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.globalenterprisepartners.com

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Cloud Engineering Cyber Security DevOps Github Machine Learning Open Source Technology Cloud Services Enterprise Software Applications Cloud Platform System

+5 more

Delivery Pipeline Generative AI Infrastructure as Code (IaC) AI Platforms Infrastructure Automation Frameworks

Job description

Global Enterprise Partners is currently looking for three Cloud & AI Engineers (Engineer, Senior Engineer, and Lead Engineer level) with strong experience in Microsoft Azure, Generative AI, and Cloud-Native Solutions for an exciting transformation programme., * Design, develop, and deploy cloud-native Generative AI solutions on Microsoft Azure.

Build scalable and secure AI platforms leveraging commercial and open-source AI models.
Develop and maintain CI/CD pipelines and DevOps best practices.
Automate infrastructure provisioning through Infrastructure as Code.
Collaborate with business stakeholders and technical teams to deliver impactful AI solutions.
Optimise AI workloads for scalability, performance, and operational excellence.
Ensure cloud solutions adhere to governance, compliance, and cybersecurity standards.
Stay current with the latest developments in Azure, AI, Machine Learning, and DevOps technologies.
Mentor and support engineering teams (Senior & Lead-level positions).

Requirements

Our client is building next-generation AI-enabled enterprise solutions and is seeking Cloud & AI professionals who can drive the design, development, and deployment of cutting-edge cloud-native AI platforms. Candidates should possess strong Azure expertise, hands-on DevOps experience, and a passion for delivering innovative, business-focused AI solutions., * 5-10+ years of experience within Cloud Engineering, AI Engineering, or related IT disciplines.

Strong experience with Microsoft Azure services.
Experience delivering Generative AI solutions using:
Hands-on experience deploying AI solutions from proof-of-concept through to production environments.
Strong understanding of AI governance, responsible AI principles, and security-by-design practices.
Experience building and managing CI/CD pipelines using:
GitHub Actions
Azure DevOps
Knowledge of Infrastructure as Code (IaC)
Experience integrating AI/ML models into enterprise applications and cloud ecosystems.
Excellent understanding of scalable, secure, and cost-efficient cloud architecture.
Strong problem-solving skills with a research-driven engineering mindset.
Ability to collaborate effectively with Data Scientists, AI/ML teams, Enterprise Architecture, Operations, and Cybersecurity teams.
Excellent stakeholder management and communication skills.