Enterprise Architect (Onsite interview)

Job title: Enterprise Architect

Location: Austin, TX (Hybrid)

Duration: 05+ Months Contract

Job no: (529501460R)

Due date: 03/05/2026

An on-site interview is mandatory

The Position will be 2 days remote with 3 days (Mondays, Tuesdays and Fridays) required to be onsite at the location listed above. Program will only accept LOCAL ONLY candidates for this position.

Work 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.

Required Skills:

10 Years of experience architecting enterprise application solutions across on-premises and cloud infrastructure

10 Years of architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.

8 Years of developing cloud native application architectures across leading cloud platforms.

8 Years of architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

8 Years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

Preferred Skills:

8 Years of Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

8 Years of Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

8 Years of Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

8 Years of Knowledge of API design, development, and management, including RESTful and SOAP APIs.

8 Years of Knowledge of microservices, serverless architectures, and cloud-native application development.

8 Years of Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

6 Years of 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 Year of Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect.