What are the responsibilities and job description for the Senior Cloud Solutions Architect with AI/ML Expertise (W2 Candidate Only) position at CrowdPlat?
Job Description
We are seeking a skilled Senior Cloud Solutions Architect to design, develop, and maintain scalable, secure, and resilient cloud architectures. This individual will play a pivotal role in cloud migration, security, and innovation while guiding technical and business decision-makers on cloud platforms and AI / ML solutions.
Key Responsibilities :
Design cloud architecture aligned with business goals and technical requirements.
Develop scalable, secure, and resilient cloud infrastructure.
Assess existing infrastructure and create comprehensive migration strategies.
Implement cloud migration while ensuring data integrity and system functionality.
Ensure compliance with industry standards and regulatory requirements.
Monitor cloud system performance and implement improvements for scalability and reliability.
Collaborate with stakeholders to translate business needs into technical solutions.
Guide teams in cloud technologies and industry best practices.
Stay updated on emerging cloud technologies and trends.
Lead AI / ML and generative AI project implementation using Azure, AWS, and Google Cloud platforms.
Minimum Requirements :
10 years of experience architecting enterprise application solutions across on-premises and cloud infrastructures.
10 years of expertise in architecting solutions on GCP, Azure, and AWS platforms.
8 years of experience developing cloud-native application architectures.
Proficiency in fit-for-purpose service models (IaaS, PaaS, SaaS).
Extensive knowledge of AI / ML / Deep Learning solutions using Azure, AWS, or Google technologies.
Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
Familiarity with cloud security frameworks, CI / CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code tools (Terraform, CloudFormation).
Proficiency in programming languages like Python, Java, and C# for automation.
Preferred Qualifications :
Cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.
Experience with AI platforms like Azure Machine Learning, AWS SageMaker, and Google Vertex AI.
Knowledge of API design, microservices, and cloud-native application development.
Excellent communication skills for articulating strategies to stakeholders.
Demonstrated ability to optimize cloud costs while ensuring performance and reliability.
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