Cloud Solutions Architect with AI/ML exp - for Client :...

Hi there, reply requested for below Job Opportunity:Please connect me for more details at: Solutions Architect with AI/ML exp - for Client : TX HHSC Hybrid - Austin, TX - weekly 2 days office AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud ArchitectThe cloud solution architect will be responsible for:Design, develop and maintain cloud architecture that aligns with business goals and technical requirements.Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture.Assess the current infrastructure and identify components suitable for cloud migration.Develop a comprehensive migration strategy, including timelines and resource allocation.Implement and validate the migration, ensuring data integrity and system functionality.Ensure cloud architecture complies with industry standards and regulatory requirements.Implement security measures to protect data and applications in the cloud.Monitor cloud system performance and identify areas for improvement.Implement solutions to enhance performance, scalability, and reliability.Collaborate with stakeholders to understand business needs and translate them into technical solutions.Provide guidance and support to other IT team members on cloud technologies and best practices.Stay updated with the latest cloud technologies and industry trends.Identify opportunities for innovation and improvement in cloud architecture and services.Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services.Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content.CANDIDATE SKILLS Experience architecting enterprise application solutions across on-premises and cloud infrastructureArchitecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS.Developing cloud native application architectures across leading cloud platforms.architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaSExperience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologiesStrong understanding of virtual networks, VPNs, DNS, load balancers, and firewallsUnderstanding of cloud security frameworks, encryption, identity, and access management (IAM), and compliance standards like GDPR, HIPAA, etc.Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormationProficiency in languages such as Python, Java, C#, and scripting languages for automationKnowledge of API design, development, and management, including RESTful and SOAP APIs.Knowledge of microservices, serverless architectures, and cloud-native application development.Ability to analyze and optimize cloud costs while maintaining performance and reliability.Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.Skills in monitoring and analysing system performance to ensure optimal cloud operations.Experience with Azure Machine Learning, Azure Cognitive Services, or AWS technologies like Sage Maker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and otherRegards,VIJAY KUMAR ASr. Technical RecruiterContact: +1 713-954-6696 Ext 119vkm@Cynosure Technologies, LLC

Created: 2025-01-15