27 set - Roma
Skillsearch
Our client is a crucial part of the United Nations and they are looking to hire someone on a remote basis (from Europe) for a 3 month contract as an AI Platform Engineer The role is English speaking.
Responsibilities
- Working under the supervision of the Senior Specialist
- Contribute to the design, implementation, and maintenance of shared infrastructure and platform capabilities supporting the deployment and operation of AI models, services, and applications.
- Collaborate with technical colleagues to facilitate the implementation of infrastructure, platform and deployment workstreams supporting AI applications, APIs and other enterprise platforms.
- Configure and maintain API management and gateway services, including Azure API Management (APIM), to support secure and scalable access to AI models and services across on-premises, cloud and external provider environments.
- Develop and maintain CI/CD pipelines and infrastructure automation for AI platform components and model deployments, in accordance with established enterprise standards.
- Develop Terraform-based infrastructure-as-code deployments to provision, configure and maintain AI platform components and related cloud services.
- Support the integration of enterprise AI services with applications, APIs and other enterprise systems, providing implementation support as required.
- Produce and maintain appropriate technical documentation, deployment procedures and operational guidance for AI platform components and services.
- Any other support duties as required.
Required Skills
- At least four years of professional work experience.
- Hands-on experience supporting the deployment and operation of scalable, reliable,
and secure applications, AI services, and enterprise platforms across cloud, on-premises, and hybrid environments.
- Hands-on Experience working across AI, Terraform(Iac), software development, cloud, and platform engineering teams, with the ability to translate business and technical requirements into practical implementation solutions.
- Solid understanding of the software development lifecycle, modern software engineering practices, and enterprise-grade software deployment and operations.
- Problem Solver – able to critically analyse problems, explore different solutions, consider various options, and effectively complete tasks.
- Team Worker - able to consult and deal effectively with all levels of technical and non-technical stakeholders and partners in the organization, establishing working relations of openness and trust in a multicultural setting.
- Proactive Planner – able to prioritize and organize work for effective resolutions of problems whilst staying ahead of potential issues.
- Effective Communicator - ability to communicate effectively to understand and explain technical and non-technical matters to stakeholders and partners in the organization.
- Strong hands-on experience with Microsoft Azure, including the deployment, configuration, integration,
and operation of cloud-based applications, services, and platform components.
- Strong experience with API management and gateway technologies, preferably Azure API Management (APIM), including configuration, routing, load balancing, failover, security, and integration of backend services.
- Strong experience with containerized architectures and deployments using Docker and Kubernetes, including the deployment, configuration and scaling of services in Kubernetes environments.
- Experience with CI/CD pipelines, infrastructure automation, version control, DevSecOps and modern software engineering practices.
- Experience with infrastructure-as-code and automated provisioning technologies, such as Terraform, Bicep or equivalent tools.
- Strong understanding of Artificial Intelligence and Machine Learning models, services and architectures, including Generative AI, Large Language Models and other AI model types, with experience in their deployment, integration and operationalization.
- Experience with AI model serving and inference architectures, including the deployment of model-serving workloads in Kubernetes environments and familiarity with technologies such as vLLM, NVIDIA NIM or equivalent frameworks.
- Good working knowledge of Python, with experience in automation, API integration and AI-related workloads.
- Good knowledge of API design, networking, authentication and authorization, and integration of enterprise services.
- Excellent written and verbal communication skills in English is essential.
- Knowledge of other languages is welcome, especially Spanish, French, Portuguese, or Arabic.
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