Apply here for a Enterprise Cloud Architect job opening at PMCS Services, Inc.

We are seeking a full-time contractor or employee for a Enterprise Cloud Architect role for the client of Texas Health and Human Services Commission.

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, 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.

Required Skills:

Experience architecting enterprise application solutions across on-premises and cloud infrastructure
Architecting 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 SaaS
Experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

Preferred Skills:

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