| Texas Health and Human Services Commission - 529501287 - Cloud Solutions Architect (AI/ML) - Due Friday 1/17 by 5:00 PM at Remote, Remote, USA |
| Email: [email protected] |
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HHSC has issued a request for a Cloud Solutions Architect with AI/ML and Deep Learning experience. Responsibilities include (but are not limited to): Design and implement scalable, secure, and resilient cloud infrastructure while developing and executing migration strategies. Provide technical guidance, and drive innovation through emerging technologies like AI/ML. Enforce security and compliance standards while continuously optimizing cloud system performance for scalability and reliability. Minimum Candidate Characteristics: 10+ years of cloud architect experience (GCP, Azure, AWS) 8+ years of AI/ML and Deep Learning experience Exceptional Candidate Characteristics: Prior HHS agency or public health experience Proficient in virtual networks, VPNs, load balancers, IAM, encryption, and compliance frameworks (GDPR, HIPAA) with hands-on experience in cloud security best practices. Skilled in CI/CD pipelines, containerization (Docker, Kubernetes), IaC tools (Terraform, CloudFormation), and programming languages (Python, Java, C#) for automation and cloud-native app development. Expected Duration: 6 months / 1024 hours Location: This is a hybrid role (2 days onsite). Deadline: Friday 1/17 by 5:00 PM. I. DESCRIPTION OF SERVICES The cloud solution architect will be responsible for: Design, develop and maintain cloud 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. II. 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 | 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 Azure Machine Learning, Azure Cognitive Services, or AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and othe | 1 | Preferred | Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect | Thanks and Regards Itee [email protected] Ph: 732-609-8680(Direct) LinkedIn id : https://www.linkedin.com/in/itee-bh/ 3840 Park Ave, Ste:203 Edison , NJ 08820 Everest Consulting Group Inc -- Keywords: csharp continuous integration continuous deployment artificial intelligence machine learning information technology Idaho New Jersey Texas Health and Human Services Commission - 529501287 - Cloud Solutions Architect (AI/ML) - Due Friday 1/17 by 5:00 PM [email protected] |
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| 10:01 PM 15-Jan-25 |
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