Enterprise Architect 3

Project Scope:

Texas Health and Human Services Commission requires the services of 1 Enterprise Architect 3, hereafter referred to as Candidate(s), who meets the general qualifications of Enterprise Architect 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission

Roles/Responsibilities:

Responsible for translating the client's business requirements into specific systems, applications or process designs with interlocked financial modeling for very large complex technical solutions.

Analyzes customer service requirements and designs service solutions to meet those objectives.

Primary experts construct specific solutions, scope document, risk profile, and corresponding financials. Maintains and utilizes detailed industry and internal services knowledge in the construction of industry-leading services solutions, including expert working level knowledge of the processes, technologies, and people components involved in the services arena. Uses expertise to construct specific and detailed solutions that encompass process, technology, and staffing plans for customer sales opportunities. Constructs risk assessments and corresponding remediation plans relative to complex services proposals. Participate in the construction of detailed financial models that align with complex services proposals. Composes Statement of Work or other documents, using departmental automation tools as available, to craft detailed and accurate deliverables that specify processes, technology, staffing, and project management involved in proposed services solutions. As needed, provide a "trusted expert advisor" role as a Subject Matter Expert for technical services, to both internal and external customers, ranging from formal advice to internal and external customer presentations. Follow all organizational Standard Operating Procedures related to cost modeling, approvals and reviews, and all other associated workflow and deliverables.

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.

Mandatory Skills:

1. 10 years of experience architecting enterprise application solutions across on-premises and cloud infrastructure.
2. 10 years of experience in architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.
3. 8 years of developing cloud native application architectures across leading cloud platforms.
4. 8 years of developing cloud native application architectures across leading cloud platforms.
5. 8 years of experience in architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS.
6. 8 years of experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

Desirable Skills:

1. 8 years of strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
2. 8 years of understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
3. 8 years of familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
4. 8 years of knowledge of API design, development, and management, including RESTful and SOAP APIs.
5. 8 years of knowledge of microservices, serverless architectures, and cloud-native application development.
6. 8 years of excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
7. 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.
8. 1 year in Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect