Enterprise Cloud Architect
ChatGPT Jobs, WorkFromHome, TX, United States
Job Description
Enterprise Cloud Architect (AI/ML Focused)
Location
Austin, TX (Remote within Texas)
Type
Contractor
Experience
15+ Years
Company
NS IT Solutions
Description
- Responsible for translating business requirements into specific system and application designs
- Analyze customer service requirements and designs service solutions to meet those objectives.
- Construct the specific solution, scope document, risk profile, and corresponding financials.
- Construct risk assessments and corresponding remediation plans relative to complex services proposals.
- Participates in the construction of detailed financial models that align with complex services proposals.
- Compose Statement of Work or other documents to craft detailed and accurate deliverables.
- Provide a "trusted expert advisor" role as a Subject Matter Expert for technical services.
Responsibilities
- Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.
- Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.
- Evaluate current infrastructure and identify components for cloud migration.
- Implement and validate migration processes to ensure data integrity and system functionality.
- Ensure compliance of architecture with industry standards and regulatory requirements.
- Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.
- Analyze AI services to extract technical and business insights.
Qualifications
- Experience architecting enterprise application solutions across on-premises and cloud infrastructure.
- Experience architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS.
- Experience developing cloud native application architectures across leading cloud platforms.
- Experience architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS.
- Experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or Google technologies.
- Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
- Understanding 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 CloudFormation.
- Knowledge of API design, development, and management, including RESTful and SOAP APIs.
- Knowledge of microservices, serverless architectures, and cloud-native application development.
- Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
- Experience with cloud-based AI/ML services.
Certifications
- AWS Certified Solutions Architect - Must
- Azure Solutions Architect Expert - Must
- Google Professional Cloud Architect - Preferred
Contact
Vishal (Victor) Verma | Assistant Manager
NS IT Solutions