Enterprise Architect – Cloud, AI

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

10

Required

experience architecting enterprise application solutions across on-premises and cloud infrastructure

10

Required

architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.

8

Required

developing cloud native application architectures across leading cloud platforms.

8

Required

architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

8

Required

experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

8

Preferred

Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

8

Preferred

Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

8

Preferred

Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

8

Preferred

Knowledge of API design, development, and management, including RESTful and SOAP APIs.

8

Preferred

Knowledge of microservices, serverless architectures, and cloud-native application development.

8

Preferred

Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

6

Preferred

Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services.

1

Preferred

Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect