Job description

Austin,TX DatePosted : 7/18/2025 12:18:06 PM JobNumber : DTS1017187477 JobType : Contract Skills: GCP, Azure, and AWS, cloud native application architectures, Machine Learning, Artificial Intelligence and Deep Learning, IaaS, PaaS, and SaaS Job Description The enterprise architect will be responsible for: • 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 Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 10 Required experience architecting enterprise application solutions across on-premises and cloud infrastructure 10 Required architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS. 8 Required developing cloud native application architectures across leading cloud platforms. 8 Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS 8 Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies. 8 Preferred Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. 8 Preferred Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc. 8 Preferred Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation. 8 Preferred Knowledge of API design, development, and management, including RESTful and SOAP APIs. 8 Preferred Knowledge of microservices, serverless architectures, and cloud-native application development. 8 Preferred Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. 6 Preferred 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. 1 Preferred Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Requirements