Job Title: Enterprise Architect
Hybrid Austin (2 days remote with 3 days (Mondays, Tuesdays and Fridays)
Job Overview:
We are seeking an experienced Enterprise Architect to design, develop, and maintain enterprise-level architectures that align with organizational goals and technical requirements. This role will focus on building scalable, secure, and resilient infrastructure, leading cloud migration initiatives, and advising on advanced AI/ML implementations across major cloud platforms.
Key Responsibilities:
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 & Qualifications:
Minimum Requirements:
Required:
10 years: Experience architecting enterprise application solutions across on-premises and cloud infrastructure
10 years: Architecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS.
8 years: Developing cloud native application architectures across leading cloud platforms.
8 years: Architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
8 years: Experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
Preferred:
8 years: Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
8 years: Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
8 years: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
8 years: Knowledge of API design, development, and management, including RESTful and SOAP APIs.
8 years: Knowledge of microservices, serverless architectures, and cloud-native application development.
8 years: Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
6 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.
1 years: Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect
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