TWK_3067 Cloud Solutions Architect with AI / ML position with State of Texas | Austin, TX #Hybrid | Local to Austin(within 50 miles radius) | AI , ML Experience must

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Jan 8, 2026, 6:42:48 PM (4 days ago) Jan 8

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Requirement details:

Internal job ID:TWK_3067

Cloud Solutions Architect with AI / ML

State of Texas

Austin, TX #Hybrid

NOTE:

The position is hybrid
3 days remote with 2 days (Mon & Wed) required
The program will only allow candidates who are LOCAL TO THE Austin(within 50 miles radius)ONLY.
Active Texas DL Must for submission
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

EXP: 16+ years

Required Skills:

Required minimum 8 years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS or google technologies.
Proficiency in languages such as Python, Java, C#, and scripting languages for automation.
Experience with AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR
Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset
Cloud Certifications: AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Job Description:

The cloud architect is responsible for the cloud computing initiatives within an organization and for directing the architectural aspects of a cloud brokering team across all aspects of IT and the business. Responsible for the planning and engineering of an organization's cloud computing infrastructure and applications. Implements and designs hardware and software. Familiar with standard concepts, practices, and procedures of cloud technology, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as a Service (IaaS).

The cloud solution architect will be responsible for:

• Design, develop and maintain cloud application architecture that aligns with business goals and technical requirements.

• Design scalable, secure, and resilient cloud infrastructure that ensure best practices in cloud architecture.

• Assess the current infrastructure and identify components suitable for cloud migration. Develop a comprehensive migration strategy, including timelines and resource allocation.

• Implement and validate the migration, ensuring data integrity and system functionality.

• Ensure cloud architecture complies with industry standards and regulatory requirements.

• Implement security measures to protect data and applications in the cloud.

• Monitor cloud system performance and identify areas for improvement.

• Implement solutions to enhance performance, scalability, and reliability.

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

• Provide guidance and support to other IT team members on cloud technologies and best practices.

• Stay updated with the latest cloud technologies and industry trends.

• Identify opportunities for innovation and improvement in cloud architecture and services.

• Guide technical and business decision-makers on AI/Machine Learning/Deep Learning and generative AI projects, helping to map Azure, Google and AWS services.

• Analyze the services to extract technical and business insights that drive reference architectures, runbooks, and training content.

SKILLS AND QUALIFICATIONS

Years	Required	Experience
10	Required	experience architecting enterprise application solutions across on-premises and cloud infrastructure
8	Required	architecting solutions in one or more of the cloud platforms: GCP, 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 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	Proficiency in languages such as Python, Java, C#, and scripting languages for automation.
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	Ability to analyze and optimize cloud costs while maintaining performance and reliability.
8	Preferred	Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
8	Preferred	Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.
8	Preferred	Skills in monitoring and analyzing system performance to ensure optimal cloud operations.
6	Preferred	Experience with AWS technologies like Bedrock, SageMaker, Redshift, EC2, Data Pipeline, Kinesis and EMR
6	Preferred	Experience with AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and other toolset
1	Preferred	Cloud Certification eg • AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect