Enterprise Architect

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

• 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, creating a detailed migration strategy including timelines and resource allocation.

• Implement and validate migration processes to ensure data integrity and system functionality.

• Ensure compliance of architecture with industry standards and regulatory requirements.

• Collaborate with stakeholders to understand business needs and translate them into technical solutions.

• 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 that inform reference architectures, runbooks, and training content.

CANDIDATE SKILLS AND QUALIFICATIONS

• experience architecting enterprise application solutions across on-premises and cloud infrastructure – Required – 10 years
• architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS. – Required – 10 years
• developing cloud native application architectures across leading cloud platforms. – Required – 8 years
• architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS – Required – 8 years
• experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies. – Required – 8 years
• Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. – Preferred – 8 years
• Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc. – Preferred – 8 years
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation. – Preferred – 8 years
• Knowledge of API design, development, and management, including RESTful and SOAP APIs. – Preferred – 8 years
• Knowledge of microservices, serverless architectures, and cloud-native application development. – Preferred – 8 years
• Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. – Preferred – 8 years
• 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.- Preferred – 6 years
• Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect- Preferred – 1 years